Senior Data Engineer

3 weeks ago

Hyderabad, India Enable Data Incorporated Full time

Experience Required: 8+Years Mode of work: Remote Skills Required: Azure DataBricks, Eventhub, Kafka, Architecture, Azure Data Factory, Pyspark, Python, SQL, Spark Notice Period : Immediate Joiners/ Permanent/Contract role (Can join within September 29th 2025) - Translate business rules into technical specifications and implement scalable data solutions. - Manage a team of Data Engineers and oversee deliverables across multiple markets. - Apply performance optimization techniques in Databricks to handle large-scale datasets. - Collaborate with the Data Science team to prepare datasets for AI/ML model training. - Partner with the BI team to understand reporting expectations and deliver high-quality datasets. - Perform hands-on data modeling, including schema changes and accommodating new data attributes. - Implement data quality checks before and after data transformations to ensure reliability. - Troubleshoot and debug data issues, collaborating with source system/data teams for resolution. - Contribute across project phases: requirement analysis, development, code review, SIT, UAT, and production deployment. - Utilize GIT for version control and manage CI/CD pipelines for seamless deployment across environments. - Adapt to dynamic business requirements and ensure timely delivery of solutions. Requirements - Strong expertise in Azure Databricks, PySpark, and SQL. - Proven experience in data engineering leadership and handling cross-market deliverables. - Solid understanding of data modeling and ETL/ELT pipelines. - Hands-on experience with performance optimization in big data processing. - Proficiency in Git, CI/CD pipelines, and cloud-based deployment practices. - Strong problem-solving and debugging skills with large, complex datasets. - Excellent communication skills and ability to collaborate with cross-functional teams.

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