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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.
Build and maintain an enterprise data lake on BigQuery, design ETL pipelines in Python across ERP/CRM sources, and develop ML forecasting models and AI agents using LLM APIs.
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 owning ELT/ETL pipelines, data models, and quality controls for cloud data platforms, with secondary responsibility for production ML pipelines powering a shopping cart computer-vision classifier. Core tech: SQL, Python, Azure/GCP, Airflow/Prefect, Spark/Databricks.
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.
Data Engineer designing, developing, and maintaining scalable ETL/ELT pipelines, data warehouses, and data lakes using SQL, Python, and Big Data technologies (Spark, Databricks) on Azure/cloud platforms for an Azure-focused managed services company.
Data Engineer responsible for database/data warehouse development, data pipeline creation using Azure and Snowflake, data lake development, and building dashboards in Power BI/Tableau. Core technologies include SQL, Python, Azure (Data Factory, Databricks), and Snowflake.
Build and automate scalable data pipelines and solutions using Databricks, Java, SQL, Spark/PySpark, and Azure, with dashboarding and visualization tools for global customers.
Design, develop, and optimize large-scale data processing solutions and high-performance data pipelines using Spark, Scala, and the Hadoop ecosystem for distributed analytics platforms.
Design, build, and maintain scalable ETL data pipelines and data models on cloud platforms using SQL and Python/Java/Scala, collaborating with analysts and scientists in an on-site Hyderabad role.
Data Engineer on a hybrid contract in Chennai building and optimizing ETL/ELT pipelines from OLTP systems, writing performance-tuned SQL, and working with Amazon Redshift and BI tools.
Data Engineer building and maintaining data pipelines, data warehouses, and Azure cloud resources to support analytics and ML models for financial services clients.
Data Engineer at a consulting firm designing and building scalable, cloud-native Big Data and analytics platforms using Azure, Databricks, Spark, and Python for enterprise 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.
Develop reports using Epic Clarity and/or Caboodle, leveraging SQL scripting and the Epic Data Model in a hybrid role based in Maharashtra.
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.
Senior Data Engineer building enterprise-scale data integration and cloud data platforms using Informatica IICS, Google BigQuery, and SQL, balancing hands-on development with technical leadership.
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.
Data Engineer building and operating production data pipelines, lakehouse/warehouse architectures, and CDC pipelines using Python and SQL at IndiaDataHub.
Data Engineer at HOS Global Foods designing, building, maintaining, and optimizing data solutions using T-SQL, Azure Data Services, data warehousing, and ETL/ELT development to support reporting and analytics across the organization.
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