
Senior Data Engineer
6 hours ago
Role: Lead Data Engineer
Location: Chennai
Mode: Hybrid
Type: Permanent
Job Description:
ob Description:
We are looking for a Senior Data Engineer with strong expertise in Scala, Apache Spark, and PySpark to join our team for a high-impact project. The ideal candidate will play a leading role in developing and optimizing big data solutions on cloud-based platforms like Databricks.
Key Responsibilities:
- Develop scalable data pipelines and applications using Scala, Spark, and PySpark
- Collaborate with cross-functional teams to design, build, and maintain robust data solutions
- Optimize data workflows for performance and scalability on Databricks
- Mentor junior team members and provide technical leadership in data engineering practices
- Participate in code reviews and ensure best practices are followed
Required Skills:
- Strong hands-on experience in Scala programming (must-have)
- Solid experience with Apache Spark and Databricks
- Proficient in PySpark and Python
- Experience building and maintaining large-scale data processing systems
- Strong understanding of distributed computing principles
- Ability to write clean, maintainable, and efficient code
Nice to Have:
- Experience with cloud platforms (e.g., Azure, AWS, or GCP)
- Knowledge of ELT/ETL frameworks and data orchestration tools
- Familiarity with CI/CD for data pipelines
Job Type: Permanent
Pay: ₹3,000, ₹3,500,000.00 per year
Experience:
- Scala programming : 5 years (Required)
- Spark: 3 years (Required)
- Pyspark: 3 years (Required)
- Spark (Databricks): 3 years (Required)
- Total: 10 years (Required)
Work Location: In person
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