Data Engineer

Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Snowflake Data Warehouse
Good to have skills : Oracle Procedural Language Extensions to SQL (PLSQL), Amazon Web Services (AWS), Data Warehouse ETL Testing
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support data generation, collection, and processing activities. The role includes creating efficient data pipelines to facilitate smooth data flow, ensuring the accuracy and integrity of data throughout its lifecycle. The position requires implementing extract, transform, and load processes to enable seamless migration and deployment of data across various systems, contributing to the overall data infrastructure and operational efficiency within the organization. Roles & Responsibilities:

• Expected to be an SME, collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Lead efforts to optimize data workflows and improve system performance.
• Mentor junior team members to support their professional growth and skill development.
• Coordinate cross-functional initiatives to align data engineering efforts with organizational goals.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Snowflake Data Warehouse, Oracle Procedural Language Extensions to SQL (PLSQL), Amazon Web Services (AWS), Data Warehouse ETL Testing.
• Good To Have Skills: Experience with Oracle Procedural Language Extensions to SQL (PLSQL), Amazon Web Services (AWS), Data Warehouse ETL Testing.
• Strong knowledge of data pipeline architecture and best practices for data integration.
• Experience in designing scalable and reliable ETL processes to handle large volumes of data.
• Familiarity with cloud-based data storage and processing platforms.
• Ability to troubleshoot and resolve complex data-related issues efficiently.

Additional Information:

• The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.
• This position is based at our Gurugram office.
• A 15 years full time education is required.