Senior Data Engineer ID75059
New York, United States
R
USD 155K-170K (estimate) Senior-level Full Time
Tasks
- Build ETL ELT pipelines at scale
- Build and manage AWS and on prem infrastructure with Terraform
- Design data lakes data warehouses and data lakehouses
- Develop ingestion workflows from third-party APIs
- Gather requirements and provide technical consulting
- Implement Python based data engineering solutions
- Manage Parquet Avro and ORC file formats
- Optimize data retrieval with columnar storage
- Orchestrate workflows with Airflow
- Translate business goals into data architecture roadmaps
- Work with Snowflake Spark and AWS data platforms
Perks/Benefits
- Education budget
- Exciting projects
- Fitness budget
- Flexible schedule
- Mentorship
- Personalized growth roadmaps
- Remote work options
- Team activity budget
- Techtalks
Skills/Tech-stack
AWS | Airflow | Apache Spark | Avro | Big Data | Columnar Storage | Data Lake | Data Lakehouse | Data Modeling | Data Warehouse | DuckDB | ELT | ETL | Elasticsearch | Jupyter | Machine Learning | Medallion Architecture | NoSQL | ORC | OpenSearch | Pandas | Parquet | Polars | PySpark | Python | REST APIs | SQL | SageMaker | Snowflake | Terraform
Education
N/A
Roles
Regions
Countries
States
Cities
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