About the Role: We’re looking for a talented Data Engineer to join our dynamic team. You’ll work on high-impact projects like foundational data tables, ETL frameworks, and data lineage, collaborating with cross-functional teams to drive data quality, accessibility, and innovation.
Key Responsibilities:
Develop and Maintain Foundational Data Tables: Design and implement foundational data tables to support critical business objectives and new features.
Build and Enhance Self-Serve ETL Frameworks: Create and optimize ETL frameworks for both streaming and batch processes to facilitate accessible, high-quality data.
Migrate and Validate Test Tables: Collaborate with analytics partners to migrate test tables into the data foundation, ensuring accuracy, quality, and optimization.
Integrate Schema Registry and Establish Data Lineage: Integrate schema registries into ETL workflows and set up data lineage across various data domains, ensuring consistency and clarity in data management.
Qualifications:
Experience: 5+ years of experience building production-grade data pipelines and transforming data into governed, actionable datasets.
Technical Skills: Proficiency in SQL, Spark, AWS Glue, Python, and hands-on experience with MPP databases like Snowflake, AWS Redshift, or Teradata.
Collaboration Skills: Proven experience working effectively with analytics, data science, and DevOps teams, ensuring alignment across data initiatives.
Data Governance Knowledge: Strong understanding of data governance principles, pipeline metrics, and building solutions for data visibility and monitoring.
Why Join Us?
Innovative Projects: Work on high-impact projects in a fast-paced, collaborative environment where your contributions will directly support key business decisions.
Professional Growth: Opportunity to hone your technical skills and grow your career in a supportive, innovative team setting.
Dynamic Team Environment: Join a team of data professionals dedicated to driving data quality and accessibility through cutting-edge solutions.
If you’re ready to make a difference in data engineering, apply today to join our team and help us build data solutions that matter!
How to Apply: Submit your application with a resume highlighting relevant experience or email to admin@hipaas.com.
Location: Pune or Thane, Maharashtra, India