Data Engineering Manager

Founded in 1998, Inovalon is driven by the conviction that technology—particularly data—can revolutionize the healthcare ecosystem, enhancing both outcomes and cost-efficiency. We believe that our customers' success directly contributes to better healthcare. By providing data-driven solutions, we are making significant strides in this mission.As a united tea…

At Anaplan, we are a dynamic team of innovators dedicated to enhancing business decision-making through our advanced AI-powered scenario planning and analytics platform. Our mission is to empower our customers to surpass their competition and thrive in the market.What brings Anaplanners together, regardless of team or location, is our shared commitment to ensuring our customers' success and fostering our Winning Culture.Our clients include some of the most recognized names in the Fortune 50, such as Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer, among over 2,400 global companies that trust our premier platform.Our Winning Culture fuels our teams of innovators. We embrace diverse thoughts and ideas, act as leaders regardless of title, strive to achieve ambitious goals, and celebrate our successes—both large and small.Guided by principles that prioritize strategy, values, and disciplined execution, you will find inspiration, connection, development, and rewards here. We welcome everything that makes you unique; join us in building what’s next—together!We are looking for a passionate and experienced Data Governance/Data Quality Engineer to become an integral part of our expanding data team. In this role, you will design, implement, and maintain our enterprise data governance framework. Your contributions will be crucial in ensuring the quality, integrity, and security of our data assets, thus enabling data-driven decision-making throughout the organization. You will have the chance to work with cutting-edge technologies and collaborate with diverse teams to establish a strong data governance practice.

Join Anaplan, a hub of innovation dedicated to enhancing business decision-making with our state-of-the-art AI-driven scenario planning and analysis platform, enabling our clients to stay ahead of their competition and market trends.At Anaplan, we foster a culture centered around our customers' success and our Winning Culture.Our clientele includes renowned names from the Fortune 50, such as Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer, among the 2,400+ global companies that trust our top-tier platform.Our Winning Culture propels our teams of innovators; we value diverse perspectives, encourage leadership at all levels, strive for ambitious goals, and celebrate our victories, big and small.With a foundation built on strategy, values, and disciplined execution, you'll find inspiration, connection, development, and rewards at Anaplan. Embrace your uniqueness and join us in shaping the future together!We are looking for a skilled Senior Data Engineer to enhance our expanding data team. The perfect candidate will possess a solid background in creating and sustaining scalable data pipelines while being well-versed in a variety of data technologies. You will oversee the design, implementation, and management of our data infrastructure to bolster our data analytics and business intelligence endeavors.

Client: Prestigious client of Weekday Location: Gurugram, Haryana, India Role overview This Senior Data Engineer position centers on designing, developing, and maintaining scalable ETL and ELT pipelines for both batch and real-time data processing. The role requires at least 7 years of data engineering experience, with a strong background in building and optimizing data workflows using Databricks (PySpark/Python) and advanced SQL. Experience should cover both relational and cloud-based data platforms. What you will do Develop and maintain ETL and ELT pipelines for batch and streaming data Enhance data workflows with Databricks (PySpark/Python) Write efficient SQL queries for data transformation and analysis Manage data across relational and cloud platforms Perform complex data transformations, cleansing, and validation to ensure data quality and integrity Build and maintain analytics-ready datasets for business intelligence, reporting, and data science Collaborate with data scientists, BI teams, and business stakeholders to translate requirements into scalable solutions Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and reliability Apply best practices in data governance, security, documentation, and version control (Git) What we value Experience leading teams and managing client relationships Background in pre-sales or client-facing activities

Join Anaplan, a team of forward-thinking innovators dedicated to enhancing business decision-making through our cutting-edge AI-powered scenario planning and analytics platform. Our goal is to empower our clients to stay ahead of their competition and thrive in the market.At Anaplan, our shared commitment to customer success and our vibrant Winning Culture unites us across various teams and locations.Our clientele includes some of the world's most recognized brands, such as Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer—over 2,400 global companies trust our premier platform.Our Winning Culture fuels our teams of innovators. We celebrate diverse thoughts and ideas, embody leadership regardless of position, strive for ambitious goals, and enjoy celebrating all our achievements—both big and small.Guided by principles that prioritize strategy, values, and disciplined execution, you will find inspiration, connection, growth, and rewards here. Embrace your uniqueness and let’s build the future together!We are seeking an accomplished and driven Data & Analytics Systems Engineer to enhance our expanding team. The successful candidate will possess a robust background in data engineering and analytics, coupled with practical experience in designing, constructing, and maintaining data pipelines and analytics solutions. You will utilize a diverse range of technologies, such as Google Cloud Platform, Google BigQuery, Tableau, Informatica, Databricks, Python, and Anaplan, to provide high-quality data products and insights to our business stakeholders, ensuring the effectiveness and efficiency of our Data & Analytics systems and operations.

Join Anaplan, where we innovate to enhance business decision-making with our cutting-edge AI-powered scenario planning and analysis platform. This empowers our clients to surpass their competitors.What brings Anaplanners together across various teams and locations is our unwavering dedication to our customers' success and our Winning Culture.Our clientele includes some of the most prestigious names in the Fortune 50, with over 2,400 global companies such as Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer counting on our state-of-the-art platform.Our Winning Culture fuels our teams of innovators. We advocate for diverse thoughts and ideas, act as leaders irrespective of titles, strive for ambitious goals, and celebrate our achievements—both big and small.With principles rooted in strategy-driven, values-based, and disciplined execution, we offer an environment where you will feel inspired, connected, developed, and rewarded. Embrace your uniqueness and join us to shape the future together!We are in search of a seasoned Data Engineer to enhance our expanding data team. The ideal candidate will possess a solid foundation in creating and sustaining scalable data pipelines, along with proficiency in diverse data technologies. You will be charged with architecting, executing, and overseeing our data infrastructure to bolster our data analytics and business intelligence efforts.

Join Anaplan, a team of innovators dedicated to enhancing business decision-making through our advanced AI-powered scenario planning and analytics platform. Our mission is to empower customers to outpace their competitors and thrive in the market.Across diverse teams and locations, Anaplanners share a common goal: the success of our customers and the cultivation of our Winning Culture.Our clientele includes industry leaders among the Fortune 50, such as Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer, all of whom trust our top-tier platform.The core of our Winning Culture lies in innovation, encouraging diverse perspectives, and celebrating our achievements—both big and small. We act as leaders regardless of our titles, remain committed to ambitious goals, and foster an environment of inclusion.Guided by strategic principles, values-driven execution, and a disciplined approach, we inspire, connect, develop, and reward our team members. Bring your unique self, and let’s create the future together!We are on the lookout for an exceptionally talented and driven Data and Analytics Systems Engineer to join our expanding team. The successful applicant will have a robust background in data engineering and analytics, coupled with practical experience in designing, constructing, and maintaining data pipelines and analytics solutions. You will utilize various technologies, including Google Cloud Platform, Google BigQuery, Tableau, Informatica, Databricks, Python, and Anaplan, to deliver high-quality data products and insights to our business stakeholders, ensuring the efficiency and effectiveness of our Data & Analytics systems.

Join Anaplan, a pioneering team of innovators dedicated to enhancing business decision-making through our industry-leading AI-powered scenario planning and analytics platform, enabling our clients to outpace their competitors and the market.At Anaplan, we are united by our commitment to customer success and our Winning Culture.Our clients include some of the most prestigious names in the Fortune 50, such as Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer, among over 2,400 global companies that rely on our top-notch platform.Our Winning Culture fuels our teams of innovators. We promote diverse perspectives and ideas, embody leadership qualities regardless of titles, set ambitious goals, and celebrate all our victories—big and small.Guided by principles that emphasize strategy, values, and disciplined execution, you will find inspiration, connection, development, and rewards at Anaplan. Bring your unique self and join us in building the future together!Your ImpactWe are on the lookout for a seasoned Data & Analytics Senior Engineer to design, construct, and implement intricate data models within Anaplan and manage data warehousing projects. You will also develop and deploy internal applications that support our technology lifecycle, service delivery, and collaboration tools. Your responsibilities will include integrating data from various SaaS sources like Salesforce, Adobe Analytics, Workday, and Splunk into Anaplan and Google BigQuery.Uphold high development standards, including crafting technical designs, writing clean, maintainable code, and overseeing system configurations.Implement and sustain DataOps methodologies, managing data infrastructure as code (IaC) with Terraform and utilizing Git for version control.Collaborate closely with analysts and business process owners to convert business requirements into technical solutions and present analytical findings.Conduct database performance tuning, load testing, data migration, and design effective ETL/ELT processes.Lead projects to align efforts and achieve business objectives.

Join Anaplan, where our innovative team is dedicated to enhancing business decision-making through our advanced AI-driven scenario planning and analysis platform. Our mission is to empower our clients to stay ahead in a competitive landscape.Across various teams and locations, we share a unified commitment to our customers’ success and uphold our Winning Culture.Our clientele includes prestigious Fortune 50 companies such as Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer, among the 2,400+ global enterprises that trust our exceptional platform.The cornerstone of our Winning Culture lies in fostering diverse perspectives and ideas. We encourage leadership at every level, strive for ambitious objectives, and take time to celebrate our achievements—both big and small.Guided by principles that emphasize strategic planning, value-driven actions, and disciplined execution, you will find inspiration, connection, growth, and recognition within our organization. We welcome your unique qualities; let's collaborate to shape the future—together!We are looking for a seasoned Data Engineer to enhance our expanding data team. The ideal candidate should possess a robust foundation in developing and managing scalable data pipelines, along with proficiency in diverse data technologies. You will design, implement, and oversee our data infrastructure, supporting our analytics and business intelligence efforts.

Join Anaplan, where innovation meets opportunity! As a pioneering company, we specialize in enhancing business decision-making through our state-of-the-art AI-driven scenario planning and analysis platform. Our mission is to empower our customers to stay ahead of their competitors and thrive in the marketplace.At Anaplan, our collaborative culture is what drives us. We are dedicated to our customers' success and adhere to a Winning Culture that values diversity, leadership at all levels, ambitious goal-setting, and the celebration of our achievements—both large and small.Our clients include prominent names from the Fortune 50, such as Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer, among over 2,400 global companies that trust our top-tier platform.Fueled by principles that prioritize strategic thinking, core values, and disciplined execution, you'll find inspiration, connection, development, and rewards at Anaplan. Embrace your uniqueness and join us in building the future—together!We are currently on the lookout for a skilled Data Engineer to become part of our expanding data team. The ideal candidate will possess a robust background in developing and maintaining scalable data pipelines and will be well-versed in diverse data technologies. Your primary responsibility will be to design, implement, and manage our data infrastructure to bolster our data analytics and business intelligence initiatives.

Join Anaplan, a dynamic team of innovators dedicated to enhancing business decision-making through our cutting-edge AI-driven scenario planning and analytics platform. Our mission is to empower customers to stay ahead of the competition and thrive in the market.At Anaplan, we are united by our unwavering commitment to customer success and our Winning Culture.Our prestigious clientele includes over 2,400 companies from the Fortune 50, featuring industry leaders like Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer.Our Winning Culture fuels our innovation. We embrace diverse perspectives, act as leaders regardless of titles, strive for ambitious goals, and celebrate our achievements – both large and small.Guided by principles of strategic leadership, core values, and disciplined execution, you will find inspiration, connection, personal development, and ample rewards here. Embrace your uniqueness and join us in building the future together!We are on the lookout for a talented Data Engineer to bolster our expanding data team. The perfect candidate will possess a robust background in developing and maintaining scalable data pipelines and will be adept in a variety of data technologies. You will play a vital role in designing, implementing, and overseeing our data infrastructure to facilitate data analytics and business intelligence efforts.

Join Payoneer as a Senior Data Engineer and take charge of developing and optimizing our data infrastructure. You will work with cutting-edge technologies to ensure robust data management and analytics capabilities, driving data-driven decisions across the organization.

We are seeking a dynamic and experienced Senior Data Product Manager to join our innovative team at Payoneer in Gurugram, India. In this role, you will lead the development and management of our data products, leveraging analytics to drive business outcomes and enhance the customer experience. You will collaborate with cross-functional teams to design and implement data solutions that are scalable and effective.As a Senior Data Product Manager, you will be responsible for defining the product vision, strategy, and roadmap while ensuring alignment with our business goals. You will analyze market trends and customer needs to prioritize features and enhancements, ultimately delivering high-quality data solutions.

Founded in 1998, Inovalon is driven by the conviction that technology and data can transform the healthcare ecosystem, enhancing outcomes and economic efficiency. We empower our clients with innovative, data-driven solutions that contribute to overall healthcare improvement.As a unified team, we at Inovalon are dedicated to addressing the most pressing challenges in healthcare through a culture of inclusivity and innovation, creating value not only for our clients but for the millions of patients and members they serve.Overview: The Senior QA Data Engineer is expected to independently navigate complex tasks, demonstrating a thorough understanding of the software development lifecycle and adherence to core software engineering principles. This role requires a deep knowledge of computer architecture, software testing, and product scalability.

Inovalon seeks a Staff Software Engineer focused on Snowflake Data Engineering to join the team in Gurugram, India. This position plays a key role in developing and maintaining service components that support high-throughput, multi-tenant applications. Role overview This Level 5 engineering role centers on designing reliable systems, managing errors effectively, and producing clean, maintainable code with comprehensive tests. The work supports critical healthcare data solutions that impact millions of patients and members. What you will do Collaborate with a global, cross-functional team to build and manage advanced services and platforms for Inovalon applications. Act as a technical expert on complex projects, providing guidance across multiple teams. Own the architecture for large systems or multiple services, setting technical strategy and direction. Define and uphold engineering best practices, coding standards, and architectural guidelines. Lead design reviews, offering insights on system scalability and performance. Work with teams to define project requirements and deliver solutions that enhance service optimization, cost-efficiency, and security. Design, implement, test, deploy, and maintain software for distributed systems. Mentor junior engineers through code reviews, emphasizing quality and growth. Shape technical direction, driving innovation and scalability throughout the organization. Apply Agile methodologies to deliver ongoing value and adapt to evolving requirements. Maintain code integrity and organization to support both front-end and back-end performance. Promote a results-oriented culture with a strong focus on engineering excellence and scalable solutions.

We are seeking a detail-oriented Data Coordinator to support our Project Management Office (PMO) at Ramboll in Gurugram. In this role, you will manage data collection, analysis, and reporting to enhance project performance and decision-making processes.

Intellectsoft, a leading software development company since 2007, is dedicated to delivering innovative solutions across North America, Latin America, the Nordic region, the UK, and Europe. We specialize in industries such as Fintech, Healthcare, EdTech, Construction, and Hospitality. We collaborate with startups, mid-sized enterprises, and Fortune 500 companies to foster innovation and scalability. Our esteemed clients include Jaguar Motors, Universal Pictures, and Harley-Davidson, where our teams consistently make impactful contributions. Discover more about our mission and projects at www.intellectsoft.net.We are seeking a Senior Data Engineer to join our team, working on an AI-driven platform that empowers businesses to enhance decision-making and operational efficiency. This platform leverages advanced analytics and machine learning to process vast data sets, providing valuable insights and predictions. It serves various industries, including healthcare, by optimizing processes, enriching customer experiences, and facilitating innovation. The platform seamlessly integrates with existing systems, enabling teams to make swift, data-informed decisions and deliver state-of-the-art solutions.

KKR & Co. Inc. is a global investment firm specializing in alternative asset management, capital markets, and insurance solutions. The company manages funds across private equity, credit, and real assets, and partners with leading hedge fund managers. Its insurance subsidiaries, such as Global Atlantic Financial Group, provide a range of insurance products. KKR is known for a disciplined investment approach and a commitment to supporting both portfolio companies and communities. Located in Gurugram, the office delivers business operations services and solutions for both clients and internal teams. This location has become a key center for efficiency and transformation, upholding a culture of teamwork and innovation. While it began with a focus on finance, operations, and technology, the Gurugram office now supports a wide range of business functions and plays a significant role in KKR’s growth in India. ADAPT Engineering Team The AI, Data, and Platform Technologies (ADAPT) Engineering team defines KKR’s technology direction. This group is responsible for designing and maintaining core data and AI capabilities that enable global scalability and support business transformation. The team aims to evolve technology into platform-based solutions, improving agility and delivering measurable results for the business. Role overview The Director of Engineering - AI, Data, and Platform Technologies will join KKR’s global technology leadership, based in Gurugram. Reporting to a Managing Director, this role oversees daily operations and strategic initiatives for the ADAPT team. The position is responsible for strengthening KKR’s technology framework and driving innovation across the organization.

As the Director of Data for our Gurugram site, you will spearhead our data strategy, driving data-driven decision-making across the organization. You will lead a talented team of data professionals, ensuring the effective collection, management, and utilization of data to enhance business outcomes. This role demands a visionary leader with a strong background in data analytics, data engineering, and a passion for leveraging data to unlock insights and facilitate growth.

The Project Manager - Online Data Collection at Sago Group oversees the full lifecycle of online data collection projects, from initial planning through to final delivery. This position is based in Gurugram, Haryana, India and involves close coordination with clients, internal teams, and external vendors to ensure project success. Role overview This role takes responsibility for managing multiple research projects at once, guiding them through each phase, and ensuring all deliverables meet client expectations and company standards. Building and maintaining strong working relationships is a key part of the job, as is providing regular updates and recommendations throughout the project lifecycle. What you will do Independently manage research projects from sales through delivery. Act as the main point of contact for clients, internal teams, and vendors. Review project specifications and research designs to support data collection. Monitor project progress, identify risks or issues, and work to resolve them. Coordinate with vendors and partners to keep projects on schedule and within budget. Provide updates and recommendations to clients and teams, escalating concerns when needed. Use Sago systems effectively throughout each project. Deploy samples, coordinate fieldwork, and ensure quotas and reporting requirements are met. Respond promptly to unexpected challenges and manage their resolution. Support teams with coding, analysis, and reporting tasks. Validate and prepare data for client delivery. Ensure deadlines are met and deliverables are of high quality. Maintain strong client relationships and uphold company SOPs. Complete other duties as assigned. Requirements Technical orientation with strong logical reasoning and analytical skills. Excellent customer service abilities, multitasking, and time management. Adaptability to new processes and changes. Exceptional communication skills. Attention to quality and detail. High work ethic and a collaborative approach.