AWS Data Engineer
2 days ago
Company:IT Services Organization
Key Skills:
AWS, Pyspark, Databricks, SQL, Python, ETL, Azure Databricks, Data modeling, Data Warehouse, Data Engineer, Data Engineering, PL/SQL, Data Modelling
Roles and Responsibilities:
- Design, develop, and maintain ETL processes to support data integration and transformation.
- Utilize Python for data engineering tasks, ensuring efficient data processing and analysis.
- Write complex SQL queries for data retrieval and performance tuning.
- Implement and manage data pipelines using PySpark and Databricks.
- Work within the AWS cloud environment, leveraging services such as S3, Glue, EMR, Redshift, and Lambda.
- Orchestrate data workflows using tools like Airflow or AWS Step Functions.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Ensure data quality and integrity through effective data modeling and warehousing practices.
- Utilize version control systems (Git) and CI/CD practices to streamline development processes.
- Demonstrate excellent problem-solving and communication skills in a collaborative environment.
Skills Required:
- Must-Have: ETL, PySpark, AWS, Python, SQL, Databricks
- Nice-to-Have: PL/SQL, Data Modelling, Data Warehouse, Azure Databricks, Data Engineer, Data Engineering, Data modeling
- Additional Skills:
- AWS services (S3, Glue, EMR, Redshift, Lambda)
- Data pipeline orchestration (Airflow, AWS Step Functions)
- Data quality and integrity management
- Version control (Git) and CI/CD practices
- Collaboration with cross-functional teams
- Strong problem-solving and communication skills
Education:
Bachelor's degree in Computer Science, Information Technology, or a related field.
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