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Senior Data Engineer / Architect at Enable Data Incorporated. 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.. . . 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. . . Company Location: India.