Skillset: Snowflake, complex SQL queries, performance tuning, Python, Airflow, Data Modelling & proficiency in using AI
Key Responsibilities:
· Develop and maintain data platform pipelines and data integration processes.
· Support the implementation of conceptual, logical, and physical data models.
· Build and maintain data transformations using dbt and contribute to scalable, reliable data solutions.
· Collaborate with data engineers, data scientists, analysts, and cross-functional teams to deliver data products.
· Apply data engineering concepts and technologies, including AWS services (S3, Lambda, SNS, SQS), Iceberg, Snowflake, dbt, and Airflow.
· Participate in Agile/Scrum ceremonies and contribute to team planning and continuous improvement efforts.
· Work with product managers, architects, and engineers to support the Core Data Platform roadmap.
· Follow established standards and best practices for data pipelines, naming conventions, and platform development.
· Monitor and support the quality, reliability, and operational health of data platform datasets and pipelines.
· Contribute to documentation of data assets, processes, and platform standards.
· Partner with stakeholders to understand business requirements and support delivery of data solutions.
· Maintain documentation to support data quality, governance, and operational requirements.
Qualifications:
· 7+ years of experience developing and supporting data pipelines.
· Understanding of data modeling concepts, including dimensional modeling and data normalization principles.
· Proficiency in at least one program
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