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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 building and operating Azure/Databricks billing data pipelines using Python, PySpark, and SQL for a wealth management platform in Hyderabad.
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.
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.
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.
Data Engineer designing and optimizing Azure-based data pipelines (Databricks, SQL Server, Data Factory) with SQL and Python/PySpark, collaborating with Finance and Portfolio teams.
A Data Engineer who builds and optimizes scalable data solutions on Microsoft Azure using Azure Data Factory, Databricks, PySpark, and Synapse Analytics. The role focuses on developing ETL/ELT pipelines, modern Lakehouse and data warehouse architectures, data integration, and ensuring performance, quality, security, and governance.
Data Engineer / Data Scientist building data pipelines, ML models, and production ML solutions using Python, PySpark, SQL, Databricks, and MLflow at an IT consulting firm in Bhopal.
Build and automate scalable data pipelines and solutions using Databricks, Java, SQL, Spark/PySpark, and Azure, with dashboarding and visualization tools for global customers.
Data Engineer building and maintaining data pipelines, data warehouses, and Azure cloud resources to support analytics and ML models for financial services clients.
Big Data Engineer designing, developing, and optimizing scalable data pipelines using PySpark, Hadoop ecosystem tools (HDFS, Hive, Sqoop), SQL/HiveQL, and workflow orchestration via Airflow or Oozie.
Build and maintain data pipelines feeding a Databricks lakehouse for an investment division, implementing medallion architecture, security master management, and document intelligence ingestion using Python, PySpark, SQL, and Azure services.
Data Engineer at GMG designing and maintaining scalable ETL pipelines using AWS (Glue, Lambda, Athena, Redshift, S3, SNS) and Databricks with PySpark and SQL, with emphasis on performance tuning, cost optimization, and security governance.
Azure Data Engineer designing and maintaining data transformation pipelines using Python, PySpark, Databricks, and Azure services like ADF and Azure Functions.
Lead Data Engineer designing and building scalable batch and real-time data pipelines using Scala, Apache Spark, SQL, Kafka, and cloud platforms (AWS/Azure/GCP).
Mid-Level Big Data Engineer with 4-6 years of experience building and supporting large-scale Big Data applications and cloud-based data pipelines using Python, AWS EMR, Spark, SQL, and AWS cloud services with focus on EMR performance tuning and cost optimization.
Azure Data Engineer assessing SAP and non-SAP data sources to build business-ready datasets and scalable data pipelines on an Azure Data platform using Databricks, Azure Data Factory, Synapse, Python/PySpark, and Azure DevOps.
Data Engineer designing and building data pipelines, ETL/ELT processes, and data models using Azure Data Factory, SQL, and big data technologies to support analytics and business insights.
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