We are seeking an experienced Data Engineer with strong expertise in Databricks, AWS, and modern data engineering practices. The ideal candidate will have a proven track record of designing and implementing scalable data platforms, building robust ETL/ELT pipelines, and optimizing data processing workflows.
Exposure to AI and Machine Learning data pipelines and MLOps is highly desirable. You will collaborate with data scientists, analytics teams, and software engineers to deliver reliable, high-performance data solutions that support business intelligence and AI-driven initiatives.
A highly motivated Data Engineer who is passionate about building scalable cloud-native data platforms, has deep expertise in Databricks and AWS, excels in ETL development, and has practical exposure to AI/ML data engineering. Candidate thrives in a collaborative setting, enjoys solving complex data challenges, and is eager to contribute to modern analytics and AI initiatives.
Preferred Location: Mohali/Noida
Key Responsibilities:
● Design, develop,
and maintain scalable data pipelines using Databricks and Apache Spark.
● Build and optimize ETL/ELT workflows to ingest, transform, and curate structured and unstructured data from multiple sources.
● Develop and maintain cloud-native data solutions on AWS.
● Implement data lake and lakehouse architectures using Delta Lake and Databricks.
● Optimize Spark jobs for performance, scalability, and cost efficiency.
● Develop data models to support analytics, reporting, and machine learning workloads.
● Build reliable orchestration workflows using tools such as Apache Airflow or AWS Step Functions.
● Ensure data quality through validation, monitoring, testing, and governance practices.
● Collaborate with data scientists to prepare feature datasets and productionize ML pipelines.
● Support AI/ML initiatives by developing feature engineering pipelines and integrating model outputs into enterprise data platforms.
● Implement CI/CD pipelines and
📌 Senior Data Engineer (Noida)
🏢 SourceFuse
📍 Noida
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