Senior Data Engineer

1 day ago

Meerut, Uttar Pradesh, India EXL Full time

Job Summary:

We are seeking an experienced Data Engineer with strong expertise in AWS cloud services and Databricks to design and implement scalable, high-performance data pipelines. The role involves building and optimizing ETL/ELT workflows, managing big data environments, and ensuring seamless data availability for analytics, AI/ML, and business intelligence use cases.

Key Responsibilities:

  • Design, develop, and maintain data pipelines and workflows using AWS (S3, Redshift, Glue, EMR, Lambda, Kinesis, Athena) and Databricks.
  • Build and optimize ETL/ELT processes for large-scale structured and unstructured datasets.
  • Leverage Databricks for data engineering, advanced analytics, and machine learning workloads.
  • Collaborate with data scientists, analysts, and stakeholders to deliver reliable and scalable data solutions.
  • Implement data governance, quality checks, and monitoring frameworks.
  • Ensure high availability, scalability, and cost-effectiveness of data solutions.

Required Skills:

  • 7+ years of experience in data engineering.
  • Strong hands-on experience with AWS cloud services (S3, Redshift, Glue, EMR, Athena, Lambda, Kinesis).
  • Expertise in Databricks (PySpark, Delta Lake, ML pipelines).
  • Proficiency in Python and SQL for data transformation and querying.
  • Strong understanding of data warehousing, data modeling, and big data frameworks.
  • Experience with workflow orchestration tools (Airflow, Step Functions).

Preferred Qualifications:

  • Familiarity with MLOps/ML integration within Databricks.
  • Experience with real-time/streaming data (Kafka, Spark Streaming).
  • Knowledge of infrastructure as code (Terraform/CloudFormation).
  • Exposure to data security, compliance, and governance practices.

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