Data Mapping Specialist

Position Overview:Join ShyftLabs as a Data Lead and take charge of architecting and implementing comprehensive data features that drive our booking and content management systems. In this pivotal role, you will lead a dynamic team, oversee the entire data pipeline lifecycle, and significantly influence the development and scaling of our data infrastructure across batch, real-time, and NoSQL environments.Founded in 2020, ShyftLabs is an innovative data product company that collaborates mainly with Fortune 500 companies. Our mission is to create digital solutions that accelerate business growth across various sectors by focusing on value creation through cutting-edge innovation.

Join Paytm as a Technical Lead in Data Engineering, where you will spearhead innovative projects that drive the evolution of our data infrastructure. You will manage a talented team of engineers, guiding them in building scalable data solutions that empower our business decisions.In this role, you will be responsible for architecting data pipelines, optimizing data processing, and ensuring data quality across various platforms. Your leadership will be crucial in enhancing our data capabilities and delivering impactful solutions to our clients.

Position Overview:Join ShyftLabs as a Senior Data Analyst, often referred to as a Data Storyteller. We seek an inquisitive, insight-driven analyst who excels at diving deep into data, identifying patterns, and transforming findings into compelling visualizations and narratives that ignite action. You will play a crucial role in converting raw data into impactful stories that inform and guide strategic decisions across marketing, merchandising, and operations.You will thrive in this position if you enjoy exploring data independently, can correlate numerical insights with business objectives, and excel at creating visually engaging dashboards that simplify complex concepts.Founded in early 2020, ShyftLabs is an innovative data product company dedicated to partnering with Fortune 500 companies. Our mission is to deliver digital solutions that accelerate business growth across diverse industries by prioritizing value creation through cutting-edge innovation.

Join BOLD as the new Module Lead for our Data Science team, where your analytical prowess and business acumen will play a pivotal role in delivering valuable insights to our Product and Management teams.As a key player in driving product development, you'll leverage extensive user data sets to enhance existing products and uncover relationships within the data to inform the creation of innovative new offerings.ABOUT THE TEAMAt BOLD, the Data Science department is dedicated to identifying patterns and trends within datasets to generate actionable insights. We develop predictive algorithms and robust data models, improve product quality through machine learning techniques, and provide strategic recommendations to various teams and top management using tools like Python and SQL.Our team collaborates closely with Engineering, Portals, BI, Product, and Legal teams, with projects that emphasize natural language processing and machine learning. Current initiatives include resume parsing, ranking, summary generation, data quality assessments, content generation, job recommendations, and conversion analysis. In addition to business-driven projects, we actively explore cutting-edge methods to stay ahead in technology.RESPONSIBILITIESDemonstrate expertise in data science projects involving NLP, large language models, predictive modeling, statistical analysis, and machine learning.Utilize our rich user data sets for research and model development.

BOLD is looking for a dynamic Project Lead to join our Data Science team. In this role, you will leverage your analytical expertise and business acumen to provide crucial insights that will aid our Product and Management teams. By harnessing our extensive user data sets, you will play a pivotal role in enhancing existing products and identifying relationships within the data to innovate new offerings.ABOUT THIS TEAMThe Data Science department at BOLD is dedicated to uncovering patterns and trends in data to generate insights, develop predictive algorithms, and improve product quality through machine learning techniques. We collaborate closely with various teams, including Engineering, Portals, BI, Product, and Legal. Our projects primarily focus on challenges that integrate natural language processing and machine learning, such as resume parsing, ranking, summary generation, data quality assessment, content generation, job recommendations, and conversion analysis. Additionally, we continuously explore cutting-edge technologies to stay ahead in the industry.WHAT YOU’LL DOLead data science projects that involve natural language processing, large language models, predictive modeling, statistical analysis, and machine learning.Collaborate with cross-functional teams to drive data-driven product development.Utilize tools like Python and SQL for data analysis and modeling.Communicate findings and insights effectively to stakeholders.

Position OverviewJoin our innovative team at ShyftLabs as a Data Enterprise Architect, where your expertise will play a crucial role in shaping the architecture for our IT systems. In this pivotal position, you will collaborate with various IT groups to develop comprehensive architectures and lead projects that span across multiple functional agency systems as well as other state entities. Your responsibilities will include coordinating, planning, and scheduling during the project's transition, development, and implementation phases. This role allows you to work with significant independence, utilizing your initiative and judgment to drive success. Founded in early 2020, ShyftLabs is a rapidly expanding data product company that partners primarily with Fortune 500 companies. We are dedicated to delivering cutting-edge digital solutions that accelerate business growth across diverse industries, with a strong focus on innovation and value creation.

Join our dynamic Data Science team as a Module Lead, where you'll leverage your analytical expertise and business acumen to provide vital insights to our Product and Management teams. Your role will be instrumental in driving product development by utilizing our extensive user data sets to enhance existing offerings and uncover relationships within the data to inform the creation of new products.ABOUT THE TEAMThe Data Science department at livecareer is dedicated to identifying patterns and trends within data sets to generate actionable insights. Our team is responsible for developing predictive algorithms and data models, enhancing data quality and product offerings through machine learning techniques. We collaborate closely with various teams, including Engineering, Portals, BI, Product, and Legal. Current projects involve natural language processing and machine learning, focusing on resume parsing, ranking, summary generation, data quality scoring, content generation, job recommendations, and conversion analysis. We continuously explore cutting-edge methods to stay ahead in technology.KEY RESPONSIBILITIESLead data science projects involving NLP, large language models, predictive modeling, statistical analysis, and machine learning.Utilize our diverse user data sets to conduct research, develop models, and create data products in collaboration with Development & Product teams.Design scalable data systems in partnership with system architects, employing machine learning techniques to improve user experience.Work effectively with cross-functional teams to deliver comprehensive products and features.Manage multiple tasks and adjust priorities according to evolving project needs.Estimate project efforts, identify risks, and adhere to project timelines.Conduct review meetings to ensure timely resolution of outstanding issues.Mentor and coach data scientists, providing technical leadership and fostering their development.Maintain a strategic overview to identify broader implications for the team and product.

We are seeking a talented and motivated Data Engineer to join our dynamic team at weekday-1. In this role, you will be responsible for developing, constructing, testing, and maintaining data architectures (such as databases and large-scale processing systems). You will play a crucial role in data management and analytics.

Join Our Team:At ION, we are excited to expand our AutomatION team in Noida by welcoming talented Senior Data Engineers. In this critical role, you will collaborate directly with key stakeholders and leadership from Finance and Revenue teams across our global offices. We are seeking highly skilled professionals to enhance our finance data infrastructure, ensuring it meets the evolving needs of the business.As a Senior Finance Data Engineer, you will be instrumental in scaling our finance data capabilities in Noida. Utilizing cutting-edge technologies such as Microsoft Fabric, Power BI, Power Apps, Power Automate, DAX, Power Query, and sophisticated data modeling, you will create and maintain high-performance data pipelines and solutions. Your efforts will directly influence strategic financial decision-making, as you work alongside senior stakeholders and leadership globally. Excellent communication skills are essential as you will liaise with international teams, manage complex requirements, and deliver impactful data insights.

POSITION OVERVIEWShyftLabs is in search of an accomplished Python Data Engineer with extensive experience in crafting, developing, and upholding scalable data solutions. The ideal candidate should possess over 5 years of professional expertise in Python and SQL, showcasing a strong capability in constructing ETL/ELT pipelines and overseeing data streaming solutions. This position is tailored for a hands-on engineer capable of converting business requirements into robust data systems, optimizing performance, and maintaining exceptional data quality.As a dynamic data product company founded in early 2020, ShyftLabs collaborates primarily with Fortune 500 firms. Our mission is to provide digital solutions designed to expedite the growth of businesses across various sectors, emphasizing value creation through innovation.

Role Overview Paytm seeks a Principal Engineer - Data DevOps for its Noida, Uttar Pradesh office. This role leads the development, management, and optimization of secure, large-scale big data platforms. The position calls for a blend of technical depth and leadership, driving best practices in cloud infrastructure, automation, CI/CD, and big data technologies. The Principal Engineer will guide cross-functional goals, mentor engineers, and ensure delivery of scalable data solutions. Main Responsibilities Lead, mentor, and develop a high-performing Data DevOps team with a focus on technical excellence and accountability. Direct the architecture, design, and implementation of cloud and data infrastructures to meet scalability, performance, and security needs. Work closely with Data Engineering, Data Science, Analytics, and Product teams to deliver reliable and efficient data platforms. Manage and optimize AWS-based infrastructure, including VPC, EC2, S3, EMR, EKS, SageMaker, Lambda, CloudFront, CloudWatch, and IAM. Scale and oversee big data platforms using Kafka, Hive HMS, Apache Ranger, Apache Airflow, EMR, Spark, Trino, Looker, and Jupyter Notebooks. Establish and maintain CI/CD pipelines and infrastructure automation with Terraform, Ansible, and CloudFormation. Ensure observability, proactive incident management, and compliance with SLAs. Promote cloud security practices, including API security, TLS/HTTPS, and access control policies. Collaborate with stakeholders to set priorities, manage budgets, and optimize cloud and operational spending. Required Qualifications At least 8 years of experience in DevOps, Data DevOps, or related fields, with a minimum of 4 years in a leadership role. Demonstrated success managing large-scale big data infrastructure and leading engineering teams. Hands-on expertise with AWS services and infrastructure automation tools such as Terraform, Ansible, and CloudFormation. Extensive experience with Kafka, Hive HMS, Apache Ranger, Apache Airflow, EMR, Spark, Trino, Jupyter Notebooks, and Looker. Proficiency with Kubernetes/EKS, Docker, ECS, and CI/CD tools. Strong understanding of networking, cloud security, and compliance requirements. Excellent communication, stakeholder management, and decision-making skills. Familiarity with SQL and data query optimization is considered a plus.

Position Overview:Join our dynamic team at ShyftLabs as a Data Engineer, where your expertise in Google Cloud Platform (GCP) and Google BigQuery will be pivotal. You will be responsible for designing, developing, and maintaining robust data pipelines that serve as the backbone for our analytics and data science projects.In this role, you'll oversee the complete data lifecycle—from ingestion and processing to warehousing and serving. Your contributions will create a reliable, efficient, and high-quality data environment that empowers our data analysts, scientists, and business leaders to make informed, data-driven decisions.Founded in early 2020, ShyftLabs is an innovative data product company collaborating with Fortune 500 clients. We focus on delivering digital solutions that accelerate business growth across diverse industries by fostering value through ingenuity and technological advancement.

About ShyftLabsFounded in early 2020, ShyftLabs is an innovative data product company that partners with Fortune 500 clients to deliver state-of-the-art digital and data-centric solutions. Our mission is to empower businesses by accelerating their growth, enhancing decision-making capabilities, and unlocking measurable value through continuous innovation.Position OverviewWe are on the lookout for a skilled Data Scientist who can leverage their expertise in machine learning (ML) and infrastructure systems to drive performance enhancements and cost efficiencies within our product offerings. This role entails providing insightful, data-driven analyses and scientific solutions that will significantly shape our product strategy and influence business outcomes.

Join us as a Data Scientist to tackle intricate business challenges and enhance your analytical skills. In collaboration with one of Weekday’s esteemed clients, you will leverage data and advanced analytics to unveil innovative insights that drive substantial impact for clients.

Position OverviewAt ShyftLabs, we are on the lookout for a highly skilled Senior Data Scientist. This key role will focus on harnessing machine learning and infrastructure systems to enhance our product's performance and cost-effectiveness, delivering data-driven insights and scientific solutions.Founded in 2020, ShyftLabs is a forward-thinking data product company that collaborates with Fortune 500 enterprises. Our mission is to accelerate business growth across diverse industries by innovating and creating substantial value through digital solutions.Team - CarterCarter is recognized as a unique privacy-first, AI-driven Retail Media Network. This comprehensive platform operates securely within client infrastructures, ensuring maximum security and control. Its customizable design prioritizes privacy and integrates seamlessly with existing systems.

Position OverviewAt ShyftLabs, we are on the lookout for a seasoned Data Scientist to enhance our products by leveraging machine learning and infrastructure systems. Your expertise will empower us to achieve performance improvements and cost efficiencies, transforming data into actionable insights and scientific solutions.Founded in early 2020, ShyftLabs is an innovative data product company collaborating with Fortune 500 enterprises. Our mission is to accelerate business growth across diverse sectors by delivering digital solutions that create substantial value through innovative practices.Team - CarterCarter is distinguished as the only privacy-first, AI-driven Retail Media Network, operating securely behind client firewalls. This customizable platform adheres to privacy-first principles and seamlessly integrates into existing infrastructures.

Join us at Paytm as a Senior Data Engineer, where you will leverage your expertise in data engineering to drive impactful data solutions. In this role, you will be responsible for designing, building, and maintaining data pipelines that enable our analytics and machine learning initiatives.You will collaborate with cross-functional teams to optimize data flow and ensure the integrity and accessibility of our data infrastructure. If you have a passion for data and a desire to work in a dynamic environment, we encourage you to apply!

Role Overview Paytm Money is seeking a Data Protection and Privacy Manager in Noida. This role focuses on protecting customer information and ensuring the company meets all data protection requirements. What You Will Do Lead projects to strengthen data security across the organization Conduct risk assessments related to data privacy and protection Develop and implement privacy policies that align with current regulations Support the company’s efforts to uphold strong data integrity standards Location Noida, Uttar Pradesh

Senior Staff Software Engineer - Data IngestionLocation: Noida/Bengaluru (Hybrid)Join our dynamic Data Ingest team as a Senior Staff Software Engineer, where you will play a pivotal role in crafting a robust, scalable, and high-performing data platform designed for observability and security solutions. Your work will empower our clients to conduct high-quality analyses swiftly, enabling real-time responses to events and incidents. Our team optimizes the ingestion pipeline, managing petabytes of data daily and processing millions of data points per minute in metrics and terabytes in tracing.Key ResponsibilitiesDesign and develop high-volume, fault-tolerant, scalable backend systems to efficiently process petabytes of customer data.Analyze and enhance the efficiency, scalability, and reliability of our backend systems.Write robust code and validate its quality through automated tests.Collaborate as a team member, supporting the team in responding swiftly and effectively to changing business requirements.Mentor junior engineers, fostering skill development and refining software processes.Assess, test, and present technology and design recommendations to management.Produce comprehensive design documents and maintain documentation on system design and implementation.Take ownership of breaking down requirements into actionable technical tasks and assist in estimating timelines.