Data Engineer

Essential functions

• Build data pipelines and sub systems that are scalable and sustainable throughout their lifecycle.

• Build efficient, extensible data models from a variety of sources.

• Work closely with various stakeholders and data scientists to roll out new products.

Qualifications

• A minimum of 5 years of experience in data engineering, with a proven track record of delivering solutions that support the product and/or internal stakeholders.

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• Experience in designing, building, deploying, and maintaining complex end-to-end data pipelines.

• Strong proficiency in SQL, including advanced query optimization techniques

• Experience with monitoring procedures and data quality tools.

• Extensive expertise in cloud-based data platforms such as Databricks and Snowflake.

• Strong proficiency in Python programming, with experience in building data pipelines.

• Experience with cloud platforms like AWS, Azure, or GCP.

• Team player with a passion for collaboration and driving growth.

Would be a plus

Advantage:

• Experience with Airflow, DBT, Databricks ,Azure data factory

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
  • Well-equipped office