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Senior Data Engineer
Build and maintain high-throughput ETL/ELT pipelines, optimize data workflows, and ensure clean, reliable data products using Python, PySpark, SQL, and modern lakehouse tools.
Data Engineer
Builds and maintains data pipelines to ingest, transform, and model data for analytics and AI, ensuring reliability and performance for enterprise use. Works with cloud data warehouses, orchestration tools, and Python/SQL to support BI and data science teams.
Data Engineer-Healthcare Analytics (Full-Time)
The Data Engineer will design, build, and maintain scalable data pipelines and infrastructure to support healthcare analytics. The role involves collaborating with cross-functional teams using tools like SQL, Python, cloud platforms, and data warehousing solutions.
IN-Sr Associate_Senior Data Engineer (Snowflake)_D&A_Advisory_Gurgaon
Data Engineer building scalable Snowflake data pipelines integrating Salesforce and multiple source systems, using SQL and ETL/ELT tools like ADF/DBT/Informatica to enable AI-ready data delivery.
Cloud Data Engineer
Design and maintain cloud-based data pipelines, warehouses, and lakes for a large bank, ensuring secure, accurate, and high-velocity data processing and enabling analytics and ML workflows.
Data Engineer
This Data Engineer role involves building and maintaining scalable data pipelines and analytics solutions within the asset management sector. The position requires expertise in Snowflake, Azure, Python, and dbt, with a focus on delivering AI-enabled data platforms.
Investment Data Engineer
The Investment Data Engineer will maintain and enhance a critical data platform for an investment risk team. The role requires expertise in Snowflake, Apache Airflow, DBT, and Python to manage investment data feeds and complex enterprise data workflows.
Data Scientist
The Senior Data Scientist will build and deploy commercial machine learning models, such as churn prediction and propensity modeling, to drive revenue and customer retention. The role involves end-to-end model lifecycle management using Python, SQL, and AWS within a hybrid work environment.
Senior Data Analyst
Lead the end-to-end data analytics lifecycle at an NBFC lender—building executive dashboards in Tableau/Power BI, writing advanced SQL across cloud warehouses (Snowflake/BigQuery/Redshift), and performing statistical analysis with Python/R to drive decisions across Risk, Finance, and Operations.
Technical Engagement Manager - Banking
EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL…
Back-End/Full-Stack Developer
Develops and maintains a government Investment Data Warehouse platform with AI/ML and GenBI capabilities, focusing on data modeling, ETL pipelines, and analytics dashboards using Snowflake, AWS, and React.
DevOps
The DevOps professional will manage cloud infrastructure on Azure, maintain Kubernetes clusters, and support development squads using Node.js and React. The role focuses on CI/CD pipelines, observability, database management (PostgreSQL), and supporting modern data architectures like Data Lake and Data Mesh.
Sr. Data Engineer
Senior Data Engineer designing and maintaining IoT data pipelines from edge devices into Databricks using medallion architecture, Kafka streaming, and Delta Lake for an equipment rental company.
Data Engineer
Builds and maintains data pipelines for processing IoT telemetry from fleet devices using Databricks, Python, and SQL to support equipment rental operations.
Junior Data Scientist
Builds and deploys predictive models for underwriting, pricing, claims, and customer retention using Python, SQL, and ML libraries while collaborating with actuarial and product teams to solve business problems.
Data Analyst
Builds and maintains data analytics solutions (dashboards, reports) for wealth management stakeholders, ensuring data integrity and delivering actionable insights. Core tools: SQL, DBT, Tableau.