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Job Description
We're Hiring: Senior Data Engineer (7+ Years)
We are looking for an experienced Senior Data Engineer with strong hands-on expertise in Spark, Scala, Hive, and Kafka to join our team.
The ideal candidate should have experience building and optimizing large-scale data pipelines, working with distributed data processing systems, and handling complex production environments. Candidates should be comfortable taking ownership of deliverables and contributing independently with minimal supervision.
Key Responsibilities:
- Design, develop, and optimize large-scale data pipelines using Spark and Scala.
- Work on high-volume batch and real-time data processing.
- Develop and maintain ETL workflows and data orchestration pipelines.
- Troubleshoot complex data and performance issues in production environments.
- Perform Spark job tuning and optimization.
- Contribute to cloud migration and data platform modernization initiatives.
- Implement CI/CD pipelines and automated deployment processes.
- Collaborate with cross-functional teams to deliver scalable data solutions.
Required Skills:
- 7+ years of experience in Data Engineering / Big Data Development.
- Strong hands-on experience with Apache Spark, Scala, and Hive.
- Experience with Kafka and distributed data processing.
- Strong programming skills in Scala and/or Python.
- Hands-on experience building and troubleshooting large-scale ETL pipelines.
- Experience with at least one cloud platform: GCP, AWS, or Azure.
- Knowledge of Git, Jenkins, CI/CD, and workflow orchestration tools such as Oozie.
Good to Have:
- GCP services – BigQuery, GCS, Dataproc, and Pub/Sub.
- Experience with cloud migration of on-premise Spark/Hive workloads.
- Experience with large-scale data migration and reconciliation.
- Knowledge of data quality and observability frameworks.
What We're Looking For:
Someone who can ramp up quickly, independently troubleshoot complex issues, take end-to-end ownership, and deliver production-ready solutions with minimal handholding.
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