Lead I - Software Engineering - Data Engineer (Snowflake, Python)

5 - 7 Years
3 Openings
Kochi, Trivandrum

Data Engineer (Snowflake, Python, IICS) Job Description

We’re seeking an experienced Data Engineer with strong expertise in Snowflake and Python, alongside hands-on experience with ETL tools—preferably IICS. In this role, you will be part of a large, collaborative team working closely with the client on a major migration project, transitioning IICS workflows to native Snowflake and Python solutions.

Key Responsibilities

• Migrate and re-engineer IICS workflows into Snowflake and Python-based pipelines.

• Design, build, and optimize scalable, high-performance data pipelines ensuring reliability and efficiency.

• Collaborate closely with internal teams and clients through regular sync-ups to ensure alignment and project success.

• Ensure data quality, consistency, and maintainability by adhering to best practices.

• Conduct code reviews, provide constructive feedback, and promote continuous improvement in coding standards.

• Mentor and guide junior data engineers to foster technical excellence and knowledge sharing within the team.

• Document data engineering processes and solutions for future reference and scalability.

Primary Skills

• Extensive experience (7+ years) in data engineering and ETL development.

• Advanced proficiency in Python for data engineering tasks, including complex ETL pipelines, automation, and data processing.

• Strong hands-on expertise with Snowflake data platform.

• Deep understanding of SQL, data modeling, and relational database concepts.

• Practical knowledge of IICS (Informatica Intelligent Cloud Services) or similar ETL tools.

• Excellent communication and collaboration skills to work effectively within teams and with clients.

Secondary Skills

• Solid grasp of data warehousing principles and best practices.

• Experience with code versioning tools (e.g., Git).

• Familiarity with unit testing and debugging data pipelines.

• Ability to analyze and troubleshoot complex data issues.

Good to Have Skills

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

• Knowledge of orchestration tools (e.g., Apache Airflow, Control-M) and CI/CD pipelines.

• Exposure to large-scale data migration projects.

• Understanding of containerization and infrastructure-as-code (e.g., Docker, Terraform).

Python,Sql,ETL