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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 building and operating production-grade data pipelines on AWS (S3, Glue, EMR, Redshift, Lambda) using Python and SQL, with Airflow, Delta Lake, and streaming tools, for a political/policy research analytics firm in Bangalore (hybrid).
Senior Data Engineer designing and building scalable, cloud-native data pipelines and platforms using Python, Apache Airflow/Google Cloud Composer, and GCP to power analytics, reporting, and ML.
On-site Microsoft Fabric Data Engineer in Noida (evening shift 2–11 PM IST) building and supporting data pipelines, Lakehouse architectures, and Power BI semantic models using Python, PySpark, and SQL.
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.
Senior Data Engineer designing, building, and operating data pipelines and a lakehouse platform on Databricks and Microsoft Fabric using Spark, Python, and SQL.
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.
Senior Snowflake Data Engineer designing, building, and optimizing scalable data solutions in enterprise environments using Snowflake, Python, and SQL.
Data Engineer building and operating Azure/Databricks billing data pipelines using Python, PySpark, and SQL for a wealth management platform in Hyderabad.
Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and API integration solutions using SQL, REST APIs, and cloud platforms (Azure/AWS) to support enterprise data and automation initiatives.
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).
Senior/Lead Data Engineer designing and developing scalable ETL data pipelines using Azure Databricks, Data Factory, Data Lake, Synapse, and Azure SQL DB, with SQL, Python, and PySpark.
Designing, developing, and optimizing scalable data pipelines, data models, and analytics solutions using DBT, AWS, Snowflake, Redshift, and Tableau.
Architect and maintain enterprise-grade ELT/ETL data pipelines using Python, PySpark, Kafka, and Databricks for large-scale banking risk data, while building GenAI agents and deploying microservices on Kubernetes/OpenShift.
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 responsible for building ETL pipelines, analyzing complex datasets, and ensuring data quality using PySpark, Databricks, SQL, and AWS on-site in Hyderabad.
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.
Data Engineer designing and maintaining Spark/PySpark ETL pipelines on AWS (S3, Glue, Redshift, Athena), building BI dashboards, and optimizing cloud costs and query performance.
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