Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Senior Data Engineer designing, building, and optimizing scalable ETL/ELT pipelines using PySpark, SQL, and Python, with a strong emphasis on Dataiku (DataIQ) integration and cross-functional stakeholder collaboration.
Senior Data Engineer in Mumbai designing and maintaining data pipelines, data marts, and data warehouse solutions on AWS and Snowflake to support BI and advanced analytics for internal stakeholders.
Lead a team of 8-10 data engineers while spending 30-50% of time hands-on building ETL/ELT pipelines using PySpark, SQL, and Azure cloud, working with enterprise data sources like SAP.
The Senior Data Engineer will design and optimize scalable data pipelines and cloud-based analytics solutions using the Azure ecosystem. The role involves collaborating in an Agile environment to build robust data integration, transformation, and reporting systems.
Senior Data Engineer designing, building, and maintaining scalable ETL/ELT data pipelines and data transformation workflows using DBT, Python, PySpark, SQL, and cloud platforms (GCP preferred).
Senior Data Engineer designing, developing, and maintaining scalable ETL/ELT data pipelines and cloud-based data integration solutions using AWS or Azure, SQL, and Python.
Senior Data Engineer working on-site in Bengaluru or Hyderabad, building ETL/ELT pipelines and data warehouses using AWS services (Glue, EMR, Redshift, S3, Athena) with Python, PySpark, and SQL.
Senior Data Analytics Engineer designing and maintaining the full analytics data layer—building scalable ETL pipelines, managing BigQuery warehouses, and creating visualizations using GCP (BigQuery, Cloud Composer, Dataflow, PubSub), Python, SQL, and Airflow.
Senior Data Engineer owning an Azure-based data platform—building ETL/ELT pipelines and a master data quality layer to produce trusted golden records from messy multi-system data.
Design, build, and optimize scalable Snowflake-based data solutions in the cloud, collaborating with analysts and scientists on ETL/ELT pipelines and modern data warehouse architecture.
Data engineer handling ETL processes, data warehousing, and provider credentialing operations using SQL, Python, and data visualization tools for a healthcare benefits company on a US night shift.
Senior Data Engineer building scalable ETL pipelines and data platforms using Apache Spark/PySpark on AWS services like Glue, S3, and Athena for Cloudwick's Amorphic Data Cloud.
Design and build end-to-end data engineering solutions on Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines) and Azure (ADLS Gen2, ADF, Synapse) using PySpark and SQL, with CI/CD via Azure DevOps.
Senior Data Engineer designing and implementing scalable data warehouse and data engineering solutions, managing data schemas, SQL tuning, and code reviews using Azure, Snowflake, Kafka, DBT, and Python.
Data Engineer designing and maintaining scalable data integration pipelines using Informatica IDMC (CDI/CAI), with SQL, Python, and Unix/Linux scripting on cloud platforms like Oracle OCI, Databricks, or Azure in an offshore delivery model.
Data Engineer building and optimizing Snowflake-based data pipelines and ETL/ELT workflows for banking/financial services clients. Core tech: Snowflake, SQL, Python, and cloud platforms (AWS/Azure/GCP).
Designing, developing, and optimizing scalable data pipelines, data models, and analytics solutions using DBT, AWS, Snowflake, Redshift, and Tableau.
Snowflake Developer/Engineer responsible for building ETL pipelines with Python and Snowflake SQL, migrating SAP data warehouses to Snowflake, and leading data analytics teams across client projects.
Data Engineer designing and managing ETL pipelines and data infrastructure for a consumer tech company focused on short-form vertical content. Core tech: SQL, Python, Airflow, dbt, cloud data platforms (AWS/GCP), data warehouses, and streaming tools.
Data Engineer developing scalable ETL/ELT pipelines, Azure Data Factory workflows, and Snowflake data warehouse solutions using PySpark, Databricks, and Delta Lake architecture to support BI and AI initiatives.
We couldn't check your fit for this role — add a CV to your profile to see it next time.