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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.
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 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.
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.
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.
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 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.
Data Engineer designing and building AWS-based data migration pipelines (S3, Glue, Redshift, Lambda) to move legacy CRM data into Salesforce, working from the Hyderabad office.
Designs, develops, and manages cloud-based data integration pipelines using Fivetran. Works with SQL, cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift, Azure Synapse), and dbt to deliver reliable data for reporting and analytics.
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).
Build and maintain data processing pipelines and analytics solutions using Apache Flink, Kafka, Python, and Databricks.
Designs, implements, and maintains data infrastructure on Google Cloud Platform (GCP) using tools like Dataflow, Dataproc, and BigQuery; collaborates with teams to ensure data is collected, stored, processed, and analyzed effectively.
Principal Data Engineer building and optimizing big data pipelines and infrastructure for a US healthtech company delivering integrated at-home and virtual care, based in Bangalore.
AWS Data Engineer (contract, hybrid) spending 60%+ time on Python development, building scalable data solutions with AWS, Apache Spark, and Lambda.
Data Engineer building high-performance Spark-based ETL/ELT pipelines and multi-layer data lake/warehouse solutions on Azure for a heavy analytics project.
Design, build, and maintain scalable data pipelines and warehouses on Google Cloud Platform using BigQuery, Dataflow, and Dataproc while ensuring data quality and collaborating with analysts.
Snowflake Data Engineer building end-to-end ETL/ELT pipelines using Snowflake, DBT, Python, and Apache Airflow in Hyderabad.
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