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Own the end-to-end ML lifecycle on Azure and Databricks—orchestrating pipelines from ingest through deploy and monitor—while collaborating with applied scientists to keep models reliable in production.
Design, develop, and maintain enterprise-grade Java applications and microservices using Spring Boot in a hybrid role based in Singapore.
Lead/Senior Data Engineer designing and managing enterprise-scale data platforms across Azure and AWS, building ETL/ELT pipelines, lakehouse architectures, and Snowflake data warehouses using Databricks, Delta Lake, PySpark, and SQL.
Data Engineer role developing applications in AWS and Python, working with various AWS services including Lambda, SQS, S3, DynamoDB, and others. Requires strong understanding of REST APIs and maintaining existing applications according to enterprise best practices.
Azure Data Engineer building ETL/ELT pipelines and data warehousing solutions using Azure Databricks, Data Factory, Synapse Analytics, and Spark technologies.
Lead Data Engineer building end-to-end data platforms using Medallion architecture, dbt, Python, and cloud services (AWS/GCP/Azure) for client engagements, with hands-on coding, architectural decisions, and mentoring responsibilities.
Tech Lead / SDE IV owning batch and real-time data pipelines for a programmatic advertising DSP, processing billions of bid-stream events daily with Kafka, Flink, StarRocks, and Python/Java/Scala, while also architecting backend microservices and mentoring engineers.
Data Engineer building scalable ETL pipelines using Databricks on AWS/Azure, with Python/PySpark and SQL, plus API integrations, SFTP ingestion, and monitoring workflows.
Build and maintain scalable cloud data platforms using Azure and Databricks, developing ETL/ELT pipelines with SQL and Python/PySpark in a senior individual contributor role.
Databricks-focused Data Engineer/Solution Architect embedded in client teams to architect, build, and optimize enterprise Databricks Lakehouse platforms using Medallion Architecture, Spark, Delta Live Tables, Unity Catalog, and CI/CD pipelines across multiple concurrent engagements.
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.
Build and optimize scalable data pipelines and ETL/ELT workflows for large datasets using Python and SQL on GCP/AWS, focusing on identity resolution and ID graph systems.
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.
Build and maintain scalable data pipelines using Spark, Scala, Airflow, and Azure Databricks in a hybrid role based in Bengaluru. Work with modern data lakehouse technologies, containerization, and CI/CD practices.
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.
Design, build, and operate scalable batch and real-time ETL/ELT data pipelines on Google Cloud Platform using BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Python.
Build and own production-grade RESTful APIs using ASP.NET Core, implement event-driven architecture with message brokers, and maintain CI/CD pipelines for a Hyderabad-based contract role.
Backend Engineer designing, developing, and maintaining scalable services and APIs using Go and Node.js on AWS, with responsibility for CI/CD pipelines via GitHub Actions.
Senior Java Backend Engineer architecting high-throughput, cloud-native microservices using Java 17/21, Spring Boot 3.x, Kafka, Kubernetes, and polyglot databases, with technical leadership and DevOps integration responsibilities.
Java Backend Developer building scalable microservices with Spring Boot and REST APIs for a banking/financial services client.
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