Senior Data Analytics

2 weeks ago

Hyderabad, Telangana, India Info Services Full time ₹ 50,00,000 - ₹ 1,50,00,000 per year

Job Title: Senior Data Analytics / Data Engineer

Overview

We are seeking a highly skilled
Senior Data Analytics/Engineer
with strong expertise in
Python
,
Snowflake
,
Databricks
, and
SQL
to design, build, and optimize our modern data platforms. The ideal candidate will have hands-on experience with
DBT Core
(highly preferred) and a solid understanding of CI/CD pipelines using
GitHub Actions
. This role will lead data engineering initiatives, drive best practices, and contribute to high-impact analytics projects across the organization.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and workflows using
    Python
    ,
    Snowflake
    , and
    Databricks
    .
  • Build and automate ELT/ETL processes leveraging best practices in data modeling and transformation.
  • Develop transformation models using
    DBT Core
    (preferred) to standardize and streamline data operations.
  • Optimize large-scale datasets for performance, reliability, and accessibility.
  • Write advanced, high-performance
    SQL
    queries for data extraction, transformation, and analysis.
  • Implement and manage CI/CD workflows using
    GitHub Actions
    for automated testing, deployment, and version control.
  • Collaborate with data analysts, data scientists, and business stakeholders to deliver high-quality data solutions.
  • Ensure data integrity, security, and governance across platforms.
  • Troubleshoot complex data issues and implement long-term automation and monitoring solutions.
  • Stay current with emerging data engineering tools and best practices.

Required Skills & Qualifications

  • 5+ years of experience in Data Engineering or Senior Data Analytics roles.
  • Strong proficiency in
    Python
    for data engineering and automation.
  • Hands-on experience working with
    Snowflake
    and
    Databricks
    environments.
  • Expert-level
    SQL
    skills and experience working with large datasets.
  • Experience with
    DBT Core
    (highly preferred; strong advantage).
  • Experience implementing CI/CD pipelines using
    GitHub Actions
    .
  • Solid understanding of data warehousing, data modeling (e.g., Kimball, Data Vault), and ETL/ELT principles.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.
  • Strong problem-solving abilities and ability to work independently in a fast-paced environment.

Preferred Qualifications

  • Experience with infrastructure-as-code or automation tools.
  • Knowledge of testing frameworks for data validation (e.g., Great Expectations).
  • Experience working in an agile environment.

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