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Senior Data Engineer building and optimizing large-scale data pipelines on cloud platforms (Snowflake, Databricks) using SQL and Python, with a focus on ETL/ELT implementation and modernization in Hyderabad.
Senior Data Engineer building secure, automated, scalable GCP data pipelines using Python, Apache Airflow, Apache Druid, and Spark for a global ad-tech DSP platform.
Senior Data Engineer leading enterprise-scale data engineering initiatives, designing data warehouses and data lakes on AWS, and building ETL/ELT pipelines with PySpark, Apache Airflow, and SQL.
Design and develop scalable data engineering pipelines using Databricks, PySpark, Python, and SQL, building data ingestion, transformation, and analytical data models with a focus on big data processing and performance optimization.
Senior Data Engineer leading the re-engineering and validation of an existing Azure Synapse enterprise data platform and driving its migration to Databricks, focused on reverse-engineering complex pipelines, ensuring data governance, and implementing lakehouse architectures.
AWS Data Engineer building scalable cloud-native data platforms, designing ETL pipelines with AWS Glue/PySpark, orchestrating workflows via Step Functions and EventBridge, and automating infrastructure with Terraform on S3-based Data Lakes.
Senior Azure Data Engineer building scalable data and AI solutions, focusing on Azure Databricks, Python, Azure AI Foundry, LLMs, and Medallion Architecture.
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 responsible for architecting and maintaining scalable data pipelines using Azure Data Services, Azure Data Factory, Azure Synapse Analytics, and dbt in an on-site role in Ahmedabad.
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.
Senior Data Engineer on a 6-month contract building and maintaining automated ETL/ELT data pipelines for data governance and analytics, primarily using Azure Databricks, Azure Data Lake, and Microsoft Purview.
Design and deliver data pipelines and ETL/ELT processes for client-facing analytics, architecting and optimising data models and transformations in Databricks using Python, Spark, and SQL at scale.
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.
Senior Data Engineer on a 6-month contract building Azure data pipelines and AI solutions using Data Factory, Data Lake, Fabric, Databricks/PySpark, and integrating Azure OpenAI/RAG/LLM capabilities with Power BI reporting.
Design and operate distributed, high-throughput data acquisition pipelines that ingest public financial disclosures from thousands of global sources using Python, async frameworks, and cloud infrastructure.
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 building scalable data platforms on Azure using Scala and Spark, handling data ingestion, transformation, and analytics enablement for a digital transformation consultancy.
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 owning data pipelines end to end on a Microsoft Fabric Lakehouse platform, building batch/incremental PySpark pipelines, dimensional models, and Power BI semantic layers with a strong emphasis on data quality and operational excellence.
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