ETL Developer

2 days ago

Gurgaon, Haryana, India Kezan Inc Full time ₹ 11,00,000 per year

Position: ETL Developer (Snowflake + Python)

Experience: 4–8 years

Location: ( Gurugram / Bangalore )

Joining: Immediate Joiner

Budget: Up to 11 LPA

Job Summary

We are seeking a skilled
ETL Developer
with strong expertise in
Snowflake
and
Python
to design, develop, and optimize robust ETL pipelines. The ideal candidate will have experience working with large datasets, cloud data warehousing, and performance optimization, ensuring seamless data integration and availability for analytics.

Key Responsibilities

  • Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into
    Snowflake Data Warehouse
    .
  • Write efficient
    Python scripts
    for automation, data transformation, and integration tasks.
  • Work with stakeholders to understand data requirements and translate them into technical specifications.
  • Optimize ETL workflows for
    scalability, performance, and cost efficiency
    in a cloud environment.
  • Manage and monitor data pipelines, ensuring high availability and reliability.
  • Implement
    data quality checks
    , validations, and reconciliation processes.
  • Collaborate with BI teams, Data Engineers, and Data Analysts to deliver accurate and timely data.
  • Maintain documentation for ETL processes, data flows, and architecture.
  • Troubleshoot and resolve data-related issues and performance bottlenecks.

Required Skills & Experience

  • 4+ years
    of ETL development experience, preferably in a cloud-based environment.
  • Strong expertise in
    Snowflake
    (SnowSQL, Snowpipe, Streams, Tasks, Warehouses, etc.).
  • Proficiency in
    Python
    for scripting, automation, and data transformation.
  • Solid understanding of
    SQL
    (complex queries, optimization, stored procedures).
  • Experience with
    data integration tools
    (e.g., Apache Airflow, Informatica, Talend, dbt) is a plus.
  • Strong understanding of
    data warehousing concepts
    (star schema, snowflake schema, dimensional modeling).
  • Knowledge of
    cloud platforms
    such as AWS, Azure, or GCP.
  • Familiarity with version control (Git) and CI/CD for ETL deployments.
  • Problem-solving skills with the ability to work independently and in a team.

Preferred Qualifications

  • Snowflake
    SnowPro Certification
    or equivalent.
  • Experience with
    data lake integration
    and unstructured data handling.
  • Exposure to
    machine learning pipelines
    in Python (optional but beneficial).

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