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Databricks Data Engineering Architect defines and drives Databricks architecture and strategy, takes end-to-end ownership of Databricks solutions from design through implementation, and works with technologies like Databricks, Spark, Delta Lake, SQL, Python/PySpark, and Lakeflow.
GCP Data Engineer on an EST hybrid shift in Noida, designing data warehouse solutions, building ETL/ELT pipelines, and developing BI reporting for a US-based media client.
Power BI Lead responsible for designing reporting and analytics solutions using Power BI, developing ETL/data pipelines with SQL Server, SSIS, SSRS, and SSAS, and providing technical guidance to BI/Data Engineering developers.
Design, develop, and maintain scalable batch and streaming data engineering solutions on AWS using Python, PySpark, Databricks, Kafka, and Airflow, while leading technical discussions and supporting production platforms.
GCP Data Engineer responsible for designing, building, and maintaining scalable data pipelines, data warehouses, and big data solutions on Google Cloud using Dataflow, BigQuery, Cloud Composer, and related GCP services.
Architect and build dimensional and Lakehouse data models, plus robust ETL/ELT pipelines, using Databricks or Snowflake, PySpark, SQL, and Azure/AWS cloud services.
Freelance Senior Data Engineer designing scalable AWS data pipelines, ETL processes, and data warehouses using AWS Glue, Snowflake, Python/PySpark, and Terraform.
Technical Lead driving the migration of Microsoft/Azure data platforms to Databricks, providing hands-on mentorship, architecture oversight, and pipeline development for the data engineering team.
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.
Senior Data Engineer at Milo.ai building a data platform for AI agents—pipeline infrastructure, semantic models, and DAG-based orchestration—using Python, dbt, Dagster/Airflow, and columnar storage engines like ClickHouse/DuckDB. On-site in London with visa and relocation sponsorship.
Lead an AWS-based data platform—designing metadata-driven ingestion pipelines from S3 through Redshift, owning orchestration in Airflow, governance via Lake Formation, and mentoring engineers—using AWS, Python, SQL, and Airflow.
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.
Job description This role does require travel to colocation facilities in the area. We are seeking a dedicated and experienced Data Center Engineer to join our Mumbai team. This role requires hands-on work with our…
Designs, builds, and supports data solutions for reporting, analytics, and business decisions using AWS cloud platforms, SQL, Python, and ETL/ELT processes to ensure data accuracy and security.
Design and develop real-time data pipelines and scalable data processing solutions on AWS using Kafka, Spark, and AWS Kinesis.
The Senior Data Solutions and Cloud Architect/Engineer will design and manage scalable cloud-based data environments on Azure to support advanced analytics and business decision-making. The role involves leading technical teams, building data pipelines, and ensuring compliance with security and GxP standards within a MedTech environment.
Senior Data Engineer designing and building data pipelines, data warehouses, and ETL/ELT processes on Azure, using SQL, Python, Spark, and tools like Data Factory, Databricks, and dbt.
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.
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