Responsibilities:

📍Lead the design and development of data pipelines for ingestion, transformation, and loading of data from various sources (databases, APIs, streaming platforms) into our data warehouse/lake. 📍Write optimized and maintainable SQL queries and leverage SQLAlchemy for efficient database interaction. 📍Implement robust data quality checks and monitoring systems to ensure data integrity and accuracy. 📍Develop comprehensive documentation and contribute to knowledge sharing within the team. 📍Contribute to the design and implementation of data governance policies and procedures.\n

Required skills and qualifications

📍5+ years of hands-on experience in a Data Engineering role, with a strong proficiency in Python (version 3.6+). 📍Extensive experience working with relational databases and writing complex SQL queries. 📍Proven expertise with SQLAlchemy or similar ORM libraries. 📍Experience with workflow management tools like Airflow (experience with PySpark or PyFlink is a major plus). 📍Solid understanding of data warehousing concepts and experience working with large datasets. 📍Ability to guide and mentor junior developers, fostering a collaborative team environment. 📍Strong communication skills, both written and verbal, with the ability to explain complex technical concepts to both technical and non-technical audiences. 📍Experience deploying and managing applications on cloud platforms like Openshift, ECS, or Kubernetes.

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