28 Mar
TEKGENCE
Delhi
Python Data Integration Engineer
5 to 12 years
Pune/Hyderabad
As the Data Integration Engineer , you will play a pivotal role in shaping the future of our data integration engineering initiatives. You will remain actively involved in the technical aspects of the projects. Your responsibilities will include:
• Hands-On Contribution: Continue to be hands-on with data integration engineering tasks, including data pipeline development, EL processes, and data integration. Be the go-to expert for complex technical challenges.
• Integrations Architecture: Design and implement scalable and efficient data integration architectures that meet business requirements. Ensure data integrity, quality, scalability, and security throughout the pipeline.
• Tool Proficiency: Leverage your expertise in Snowflake, SQL, Apache Airflow, AWS, API, CI/CD, DBT and Python to architect, develop, and optimize data solutions. Stay current with emerging technologies and industry best practices.
• Data Quality: Monitor data quality and integrity, implementing data governance policies as needed.
• Cross-Functional Collaboration: Collaborate with data science, data warehousing, analytics, and other cross-functional teams to understand data requirements and deliver actionable insights.
• Performance Optimization: Identify and address performance bottlenecks within the data infrastructure. Optimize data pipelines for speed, reliability, and efficiency.
• Project Management: Oversee end-to-end project delivery, from requirements gathering to implementation. Ensure projects are delivered on time and within scope.
Qualifications:
• Bachelor's degree in Computer Science, Engineering, or related field. Advanced degree is a plus.
• 4 years of hands-on experience in python programming.
• 3 years of experience in data engineering with experience in SQL.
Preferred Skills:
• Familiarity with cloud platforms, such as AWS or Azure.
• Demonstrated experience in designing and developing RESTful APIs.
• Preferred experience with Snowflake, AWS, Kubernetes (EKS), CI/CD practices, Apache Airflow, and dbt.
• Good experience in full-stack development
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