Senior Data Engineer
New
Based in United StatesFull-TimeSenior
Salary145,000 - 175,000 USD per year
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Job Details
- Experience
- 6–8+ years
- Required Skills
- AWSDockerPythonSQLApache AirflowKubernetesSnowflakeCI/CDdbt
Requirements
- 6–8+ years of experience working with data warehouses, data lakes, and large-scale ETL/ELT pipelines.
- Proven experience designing and optimizing data pipelines using Snowflake or similar cloud data platforms.
- Strong expertise with Apache Airflow, including workflow creation, scheduling, monitoring, and optimization.
- Experience developing transformation workflows using tools such as dbt.
- Advanced SQL skills with experience handling complex queries, performance optimization, and relational databases.
- Strong Python programming skills for building and maintaining data pipelines, services, and automation solutions.
- Experience with CI/CD practices and tools such as GitHub Actions or Jenkins.
- Hands-on experience with cloud platforms, particularly AWS services such as ECS, S3, and RDS.
Responsibilities
- Design and implement scalable data architectures aligned with business objectives, collaborating with engineering and product teams to support evolving requirements.
- Build, optimize, and maintain ETL/ELT pipelines and data workflows to ensure efficient and reliable data processing.
- Develop data warehouse and data lake solutions while ensuring data integrity, quality, security, and performance.
- Create and maintain automated data pipelines using orchestration and transformation tools such as Airflow and dbt.
- Develop advanced SQL queries and optimize database performance across large-scale data environments.
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