As a Senior Data Engineer, you will design and implement scalable data pipelines, ensuring data governance and supporting Headway's mission to improve access to mental healthcare.
Senior Data Engineer - R01569573
📜 Description
- Design and develop scalable ETL/ELT pipelines using Snowflake and Matillion or similar tools.
- Build and optimize data integration, transformation, and ingestion frameworks.
- Develop data models and data warehouse solutions.
- Collaborate with BI and analytics teams to deliver data solutions.
- Implement data quality, governance, and security practices.
- Automate deployments and workflows, and monitor and troubleshoot pipeline performance and reliability.
🛠️ Requirements
- 4-6 years of experience as a Snowflake Data Engineer.
- Hands-on Snowflake development and data modeling experience.
- Experience with Matillion, Informatica, IICS, Talend, or similar ETL tools.
- Strong SQL and query optimization skills; Python scripting and automation experience.
- Knowledge of data warehousing concepts, including star and snowflake schemas.
- AWS cloud services experience preferred; exposure to Git, CI/CD, and Agile methodologies.
- Alation, PLSQL, T-SQL, and stored procedures are listed among the primary skills.
Full job description
Primary Skills
Specialization
Job requirements
Hiring: Snowflake Data Engineer (4-6 Years)
Location: Bangalore/Hyderabad/Pune/Chennai/Gurgaon
Experience: 4-6 Years
We are looking for a talented Snowflake Data Engineer with strong expertise in Snowflake, Matillion (or equivalent ETL tools), AWS, SQL, and Python to join our growing data engineering team.
What You'll Do
- Design and develop scalable ETL/ELT pipelines using Snowflake and Matillion (or similar ETL tools).
- Build and optimize data integration, transformation, and ingestion frameworks.
- Develop robust data models and data warehouse solutions.
- Collaborate with BI and Analytics teams to deliver high-quality data solutions.
- Implement data quality, governance, and security best practices.
- Automate deployments and workflows using Git and CI/CD processes.
- Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
- Airflow
- DBT
- Snowflake or Cloud Certifications (AWS/Azure/GCP)
- Experience with large-scale cloud data platforms
- Work on enterprise-scale cloud data transformation initiatives.
- Exposure to modern data engineering and analytics platforms.
- Opportunity to collaborate with global teams and customers.
- Strong learning and growth environment.
Required Skills
Hands-on experience with Snowflake Development and Data Modeling
Experience with Matillion, Informatica, IICS, Talend, or similar ETL tools
Strong SQL expertise and query optimization skills
Experience with AWS Cloud services (preferred)
Python scripting and automation experience
Knowledge of Data Warehousing concepts, Star & Snowflake Schema
Exposure to Git, CI/CD, and Agile methodologies
Good to Have
Why Join Us?
Interested candidates can share their updated resume or apply directly.
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