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.
Azure Data Engineer building ETL/ELT pipelines and data warehousing solutions using Azure Databricks, Data Factory, Synapse Analytics, and Spark technologies.
Lead Data Engineer at IndusInd Bank in Mumbai, architecting and building a cloud-native Azure Databricks data platform with PySpark, leading a team of data engineers and analysts to deliver scalable lakehouse architectures and BI solutions.
Senior Data Engineer lead building complex ETL/ELT solutions on Azure Data Lake, Databricks, and ADF using SQL, PySpark/Scala, with Kafka-based real-time and batch ingestion at scale.
Data Engineering Consultant at Infosys Consulting, designing and developing data pipelines using Python/PySpark on AWS within the Automation & AI Consulting Practice, collaborating with AI consultants and stakeholders across client engagements.
Design and develop real-time data pipelines and scalable data processing solutions on AWS using Kafka, Spark, and AWS Kinesis.
Senior Data Engineer building data products and BI/analytics solutions for a real-estate investment manager, using Snowflake, SQL, dbt, and ETL tools in an Agile team.
Senior Data Engineer designing and maintaining real-time and batch data pipelines for SMC Global Securities' financial services and trading platforms, using SQL, Python, AWS (S3, Redshift, Athena, Glue, EMR, Lambda), Airflow, DBT, and Spark within Data Lakehouse architectures.
Design, build, and maintain the analytics data layer—pipelines (Airflow), warehouse (BigQuery), and ETL—on GCP, applying software engineering best practices to deliver BI solutions.
Senior Databricks Engineer automating platform operations, CI/CD pipelines, and multi-environment deployments using Databricks, PySpark, SparkSQL, and Azure cloud services.
Senior Data Engineer building real-time data ingestion/processing pipelines and large-scale enterprise data solutions using PySpark, Python, Airflow, SQL, and AWS big data services.
Lead Azure Databricks Engineer designing, building, and optimizing scalable ETL/ELT data pipelines using Azure Databricks, PySpark, SQL, and Python on the Azure platform.
Support and improve the Databricks enterprise platform and ETL pipelines through automation, monitoring, and AI-driven initiatives, using Python, Spark/PySpark, SQL, and AWS services in a hybrid SRE-focused role.
Data Engineer designing, building, and supporting scalable data pipelines and integration solutions using Databricks, Spark/PySpark, SQL, and Azure data services for a major North American bank's tech hub in Hyderabad.
Senior Data Engineer building and maintaining data pipelines, data warehouses, and BI dashboards primarily on Azure and Microsoft Fabric using SQL, Python, and PySpark.
Data Engineer building scalable ETL pipelines using Databricks on AWS/Azure, with Python/PySpark and SQL, plus API integrations, SFTP ingestion, and monitoring workflows.
Senior Data Engineer building scalable cloud data pipelines and modernizing enterprise data platforms using Python, SQL, and cloud services (Azure/AWS/GCP) with tools like Databricks, Snowflake, and Spark.
Technical Lead designing and building large-scale data pipelines on AWS and Databricks using Python, PySpark, Kafka, and Airflow, with 90% hands-on development and 10% mentoring.
Data Engineer building ETL pipelines on AWS using PySpark, SQL, Airflow, and services like S3, EMR, and Glue.
Azure Data Engineer role at TCS Noida involving data ingestion, transformation, storage, warehousing, and modeling using Azure cloud services like Data Factory, Databricks, Synapse Analytics, and Python/PySpark.
Lead Data Engineer/Data Architect designing and implementing enterprise-scale cloud data platforms (Azure, AWS, or GCP), including data lakes, lakehouses, and warehouses using Python, SQL, and tools like Databricks, Snowflake, or Spark.
We couldn't check your fit for this role — add a CV to your profile to see it next time.