Senior Data Engineer

8+ years of practical experience in a data engineering or comparable position.

Demonstrated expertise in SQL and Python (or similar languages such as Scala/Java).

Extensive experience with data pipeline orchestration tools (e.g., Airflow, dbt, ).

Proficiency in cloud data platforms like Azure (Data Factory, Synapse).

Familiarity with big data technologies (e.g., Spark, Kafka, Hive) and other data tools.

Solid grasp of data warehousing principles, data modelling techniques, and performance tuning (e.g. Erwin Data Modeler, MySQL Workbench)

Exceptional problem-solving abilities coupled with a proactive and team-oriented approach

Bachelor’s or master’s degree in computer science, Engineering, or a related discipline

Roles & Responsibilities :

Design and build robust, scalable, and secure data pipelines and models.

Lead the complete lifecycle of ETL/ELT processes, encompassing data intake, transformation, and storage.

Collaborate with data scientists, analysts, and product teams to define data requirements and deliver impactful data solutions.

Maintain and oversee the data infrastructure, including cloud storage, processing frameworks, and orchestration tools.

Champion data governance practices, focusing on data quality, lineage tracking, and catalog management.

Guarantee adherence of data systems to privacy regulations and organizational guidelines.

Guide junior engineers, conduct code reviews, and foster knowledge sharing and technical best practices within the team.

Note: Please send Cv only, who can attend the interview weekdays, with short notice period (max 15 days only)

Job Location: Chennai (Work From Office, working hours are 1:00 PM to 10:00 PM (IST), Monday to Friday)

Job Type: Full-time

Pay: ₹1,471,682.48 - ₹2,015,517.32 per year

Benefits:

• Provident Fund

Work Location: In person