Senior Data Engineer

3 weeks ago

Hyderabad, Telangana, 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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