
Senior Data Engineer
2 weeks ago
Job Title: Senior Data Engineer (AWS & Databricks)
Location: kolkata, Pune, Banglore, Hyderabad
Employment Type: Full-Time
About the Role:
We are seeking a skilled and experienced Senior Data Engineer with deep expertise in AWS and Databricks to design, build, and maintain scalable data pipelines and analytics solutions. You will work with cross-functional teams to implement best-in-class data architecture that supports business intelligence, machine learning, and real-time data processing.
Key Responsibilities:
- Design and develop robust data pipelines using Databricks (Spark, Delta Lake) and AWS services (e.g., S3, Glue, EMR, Lambda).
- Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver clean, well-structured data.
- Optimize ETL processes for performance, scalability, and reliability.
- Implement data quality checks, monitoring, and alerting.
- Manage and orchestrate workflows using tools like Airflow or Databricks Workflows.
- Ensure data security and compliance according to industry best practices.
Required Skills:
- 5+ years of experience as a Data Engineer or in a similar role.
- Hands-on experience with Databricks (including notebooks, jobs, and Delta Lake).
- Strong knowledge of AWS services, especially S3, Glue, Lambda, Redshift, and IAM.
- Proficient in Python and SQL.
- Experience with distributed systems and big data processing (e.g., Apache Spark).
- Familiarity with CI/CD and infrastructure-as-code tools like Terraform or CloudFormation.
Preferred Qualifications:
- Experience with streaming data (Kafka, Kinesis).
- Knowledge of data governance and data cataloging.
- Databricks and/or AWS certifications.
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