Senior AWS Data Engineers

7 days ago

Hyderabad, Telangana, India Coforge Full time
Job Description

- Design, develop, and maintain scalable and efficient ETL/ELT pipelines using AWS services such as Glue, Lambda, Step Functions, Apache Airflow, and Apache AppFlow.
- Build and optimize data models and data warehouse solutions on AWS Redshift and other relevant data stores.
- Implement and manage data lakes on AWS S3, ensuring data quality, security, and accessibility.
- Develop and deploy data processing applications using Python (Advanced), PySpark, and PySQL.
- Utilize AWS Athena and other query services to enable data exploration and analysis.
- Work with relational databases (SQL, PL/SQL) for data extraction, transformation, and loading.
- Implement and enforce data governance policies and procedures.
- Monitor and optimize the performance of data pipelines and data warehouse systems.
- Troubleshoot and resolve data-related issues in a timely manner.
- Collaborate effectively with data scientists, analysts, and other stakeholders to understand their data requirements and deliver solutions.
- Stay up-to-date with the latest advancements in AWS data services and big data technologies.
- Contribute to the documentation of data pipelines, data models, and best practices.

Required Skills and Experience:

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 7 to 10 years of proven experience in data engineering roles.
- Strong knowledge and hands-on experience with AWS cloud services:
- S3, EC2, Athena, Lambda, CloudWatch
- Apache Airflow, Apache AppFlow
- EMR, Glue
- RDS, DMS
- Redshift
- Strong proficiency in programming languages:
- Python Advanced (including relevant data manipulation libraries)
- PySQL
- PySpark (experience with Spark ecosystem)
- Solid understanding and practical application of Data Warehousing and ETL/ELT concepts.
- Strong knowledge of any database system:
- SQL (ability to write complex and optimized queries)
- Experience with PL/SQL is a plus.
- Demonstrable understanding of Data & Analytics principles and how data pipelines support them.
- Familiarity with Data Governance best practices and implementation.
- Proven ability in Performance Tuning and Optimization of data pipelines and database queries.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Ability to work independently and as part of a team.

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