🕒 yesterday
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 Specialist - R01569126
📅 Aug 12
SnowflakePythonApache AirflowDBT
📜 Description
- Develop and maintain scalable ETL/ELT pipelines using Snowflake and related technologies.
- Design data models, transformation frameworks, and data integration solutions.
- Build and optimize workflows with Airflow and DBT; create Python automation and processing solutions.
- Use AWS services for data ingestion, storage, and processing; optimize Snowflake performance and warehouse utilization.
- Collaborate with business, analytics, and engineering teams to deliver data solutions.
- Maintain data quality, governance, security, and operational excellence; troubleshoot and support production pipelines.
🛠️ Requirements
- 2-6 years of experience in data engineering.
- Hands-on experience with Snowflake, Python, Apache Airflow, and DBT.
- Strong SQL, data modeling, ETL/ELT, and data warehousing skills.
- Experience with AWS cloud services such as S3, Lambda, Glue, or EC2.
- Strong problem-solving, analytical, communication, and stakeholder management skills.
- Preferred: CI/CD and Git experience; exposure to Databricks, Spark, data governance or quality frameworks; Snowflake or AWS certification.
Full job description
Senior Data Engineer
Primary Skills
Specialization
Job requirements
Hiring: Snowflake Data Engineer
Locations: Bengaluru | Pune | Hyderabad | Chennai | Gurgaon
Experience: 2-6 Years
Employment Type: Full-Time
About the Role
We are looking for talented Snowflake Data Engineers who are passionate about building modern cloud data platforms and scalable data pipelines. The ideal candidate should have hands-on experience with Snowflake, Python, Airflow, DBT, and AWS and be eager to work on enterprise-scale data transformation initiatives.
Key Responsibilities
- Develop and maintain scalable ETL/ELT pipelines using Snowflake and modern data engineering technologies.
- Design and implement data models, transformation frameworks, and data integration solutions.
- Build and optimize data workflows using Airflow and DBT.
- Develop Python-based automation and data processing solutions.
- Work with AWS services for data ingestion, storage, and processing.
- Optimize Snowflake performance, query execution, and warehouse utilization.
- Collaborate with business, analytics, and engineering teams to deliver high-quality data solutions.
- Ensure data quality, governance, security, and operational excellence across data platforms.
- Troubleshoot production issues and provide ongoing support for data pipelines.
- 2-6 years of experience in Data Engineering.
- Strong problem-solving and analytical skills.
- Ability to work in a fast-paced, collaborative environment.
- Excellent communication and stakeholder management skills.
- Work on cutting-edge cloud data transformation projects.
- Exposure to large-scale enterprise data platforms.
- Opportunity to learn and grow with modern data engineering technologies.
- Collaborative and innovation-driven culture.
Required Skills
Snowflake Development & Data Warehousing
Python Programming
Apache Airflow Workflow Orchestration
DBT (Data Build Tool)
AWS Cloud Services (S3, Lambda, Glue, EC2, etc.)
Strong SQL and Data Modeling skills
ETL/ELT Pipeline Development
Understanding of Data Warehousing Concepts
Preferred Skills
Experience with CI/CD and Git
Exposure to Databricks, Spark, or other cloud data technologies
Knowledge of data governance and data quality frameworks
Snowflake or AWS Certification
What We're Looking For
Why Join Us?
Interested candidates can apply or share their updated resume.
Skills: Snowflake | Python | Airflow | DBT | AWS | SQL | Data Engineering | ETL | ELT | Data Warehousing
#Hiring #Snowflake #DataEngineer #AWS #Python #Airflow #DBT #DataEngineering #CloudData #BangaloreJobs #PuneJobs #HyderabadJobs #ChennaiJobs #GurgaonJobs
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