Data Engineer

Job Summary:

We are looking for a Data Engineer with 5-6 years of experience to design, develop, and maintain scalable data pipelines and data solutions. The candidate must have strong hands-on experience with Snowflake and should be comfortable working with cloud-based data platforms, ETL/ELT processes, and data integration.

Job Qualifications:

• 5-6 years of experience in Data Engineering.

• Must have strong hands-on experience with Snowflake .

• Strong SQL skills and experience with complex queries, performance tuning, and data transformation.

• Experience building and maintaining ETL/ELT data pipelines .

• Hands-on experience with Python for data processing and automation.

• Good understanding of data warehousing concepts, dimensional modelling, and data integration.

• Experience with cloud platforms such as AWS, Azure, or GCP .

• Experience with data orchestration tools such as Apache Airflow or similar.

• Understanding of data quality, validation, monitoring, and troubleshooting.

• Good understanding of Git and CI/CD practices. Job Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.

• Develop and optimize Snowflake databases, tables, views, stored procedures, and queries.

• Build data ingestion and transformation processes from multiple sources into Snowflake.

• Perform data validation, quality checks, and troubleshooting of data pipelines.

• Optimize data pipelines and Snowflake workloads for performance and cost efficiency.

• Work with business and technical teams to understand data requirements and deliver reliable data solutions.

• Implement data integration and transformation using SQL and Python.

• Monitor data pipelines and resolve failures or data-related issues.

• Follow engineering best practices for version control, testing, documentation, and deployment.

Benefits

• Innovative Engineering: Collaborative, fail-fast, flat hierarchy. Fosters learning, initiative, curiosity.
• Masterful Development: Emphasizes clean code, SOLID principles, TDD/BDD. Utilizes robust CI/CD and polyglot engineering.
• Continuous Growth: Structured mentorship, masterclasses, Geeknights, workshops, continuous skill enhancement, blog contributions.
• Agile & Client-Centric: Adopts Agile (Scrum, XP), promotes project ownership and deep client understanding for impactful solutions.
• Supportive Environment: Healthy work-life balance, flexible schedules, comprehensive benefits (generous leave), strong team-building.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.