Senior Data Engineer

4 days ago

Hyderabad, Telangana, India EXL Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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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