Senior Analyst - Data Engineering

0 - 6 years

0 Lacs

Posted:2 days ago| Platform: Indeed logo

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Job Description

Job Description:

We're looking for a highly proficient and dedicated Senior Data Engineer to be a core individual contributor in our engineering team. You'll be responsible for the hands-on design, development, and maintenance of high-quality data pipelines, ensuring data integrity and accessibility across the organization using our core cloud technologies. This role requires 4-6 years of experience and technical mastery in GBQ, Snowflake and DBT.

Responsibilities:

  • Data Pipeline Development: Hands-on design and implementation of production-ready data pipelines in Google BigQuery (GBQ), ensuring scalability, efficiency, and reliability.
  • Transformation Logic: Develop, maintain, and test complex data transformation logic using dbt (Data Build Tool) to support downstream analytical and business processes.
  • Data Architecture Contribution: Actively contribute to the building and maintenance of the Data Lake, assisting with the cataloging and metadata management of diverse tables across cloud data warehouses (GBQ and Snowflake).
  • Technical Execution: Apply strong SQL expertise and cloud data warehousing knowledge (GBQ and Snowflake) to optimize queries, troubleshoot issues, and manage data assets.
  • Collaboration & Communication: Proactively communicate progress, articulate technical challenges, and collaborate effectively with stakeholders and engineering peers, demonstrating a proactive approach to highlighting and resolving issues.

Skills:

  • Experience: 4–6 years of hands-on experience in Data Engineering or a similar highly technical data role.
  • Technical Stack (Must Have):
  • Strong proficiency in SQL (querying, stored procedures, performance tuning).
  • Mandatory hands-on experience with Google BigQuery (GBQ) and Snowflake.
  • Mandatory experience building production-grade data pipelines and transformation layers using DBT.
  • Experience contributing to the architecture and maintenance of a Data Lake or equivalent large-scale data store, including cataloging.
  • Strong communication and articulation skills for discussing technical trade-offs.
  • Proactive approach to highlighting and resolving issues within the data environment.

Good to Have:
  • Prior experience with GA4 data migration or integrating web analytics data streams.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Job Snapshot
Updated Date
29-12-2025
Job ID
J_4394
Location
Chennai, Tamil Nadu, India
Experience
4 - 6 Years
Employee Type
Permanent

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