Senior Data & Analytics Systems Engineer

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, 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, 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 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.

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.

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 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 our dynamic team as a Senior ETL Engineer at Nagarro, where you will play a pivotal role in designing and optimizing extraction, transformation, and loading processes. Leverage your expertise to improve data flows and ensure the integrity of our data pipelines.You will be responsible for:Developing and maintaining robust ETL processes to support business intelligence and analytics initiatives.Collaborating with cross-functional teams to gather requirements and deliver high-quality data solutions.Identifying and resolving data quality issues and performance bottlenecks in our data infrastructure.

We are seeking a talented and analytical Senior Data Processor to join our dynamic team at Sago Group in Gurugram, Haryana. This pivotal role involves processing and analyzing data to deliver actionable insights regarding market trends, consumer behavior, and competitive dynamics. The ideal candidate will ensure data accuracy through diligent cleaning and integration, applying statistical methods and visualization tools to interpret complex datasets. You will create comprehensive reports and dashboards that inform strategic decision-making across various cross-functional teams, while continuously enhancing research methodologies. Strong analytical capabilities, proficiency in statistical software, and excellent communication skills are essential to succeed in this position. This is a hybrid role, allowing for remote work while also emphasizing in-office collaboration to strengthen team relationships and foster productivity.

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 team at Inovalon, we focus on addressing the most pressing needs in healthcare through a culture of inclusion and innovation. Our commitment extends beyond our clients to the millions of patients and members they serve.Overview: The Data Engineering Manager will oversee a talented team of engineers, guiding the development and release of innovative products.

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 Nagarro, a global software development and technology consulting firm, as a Senior ETL Engineer. In this pivotal role, you will leverage your expertise in Extract, Transform, Load (ETL) processes to enhance data integration and management strategies. You will collaborate with cross-functional teams to design, develop, and maintain robust ETL solutions that meet business requirements and ensure data quality.

Join our dynamic team at Nagarro as a Senior ETL Engineer, where you will play a crucial role in designing and implementing data integration solutions. You will leverage your technical expertise to optimize ETL processes, ensuring data accuracy and efficiency. If you are passionate about data engineering and want to work with cutting-edge technologies in a collaborative environment, we invite you to apply!

Join Nagarro as a Senior ETL Engineer and play a pivotal role in transforming data into actionable insights. You will work within our dynamic engineering team, leveraging your expertise in ETL processes to design and implement data pipelines that facilitate efficient data integration and management.Your contributions will directly impact our data-driven decision-making processes and support our innovative projects across various sectors.

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.

Join our innovative team at thinkahead as a Senior Data & AI Engineer, where your expertise will drive impactful client-facing project delivery. In this pivotal role, you will be tasked with the development and implementation of cutting-edge machine learning models and AI solutions that enhance business outcomes and empower our clients with data-driven decision-making capabilities. You will also engage in vital pre-sales initiatives, define project scopes, and educate stakeholders on the intricacies of data science and machine learning methodologies.

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.

Join Nagarro as a Senior ETL Engineer and be a vital part of our engineering team. We are looking for a passionate and skilled professional who can design and implement robust ETL processes to support our data-driven initiatives. You will collaborate with cross-functional teams to ensure seamless data integration and transformation, enabling informed decision-making across the organization.