
AWS ETL Developer
2 weeks ago
Certifications: AWS Certified Solutions Architect, AWS Certified Data Analytics, or equivalent AWS certifications (Mandatory)
Job Summary:
We are seeking a highly skilled Senior AWS/ETL Developer with a strong background in designing, building, and optimizing data pipelines and data warehousing solutions. The ideal candidate will have hands-on experience with AWS cloud services, ETL processes, and modern data architectures such as Data Warehouses and Lakehouses. Proficiency in tools like AWS Glue, AWS Lambda, PySpark, and Python is essential.
Key Responsibilities:
- Design and Develop ETL Pipelines: Build and optimize ETL workflows for data ingestion, transformation, and loading processes using AWS Glue, Lambda, PySpark, and Python. Automate and monitor end-to-end data pipelines for efficiency and reliability.
- Data Warehouse and Lakehouse Development: Design and implement scalable solutions using AWS Redshift, S3, and other data storage services. Support modern data lake and lakehouse architectures for structured and unstructured data.
- Data Integration and Processing: Integrate data from diverse sources into AWS platforms. Develop transformation logic to meet business requirements and optimize performance.
- Collaborate with Cross-Functional Teams: Work closely with data analysts, architects, and business stakeholders to understand data needs and deliver solutions. Participate in code reviews, design discussions, and team meetings to ensure quality.
- Performance Optimization and Troubleshooting: Monitor and tune ETL processes for optimal performance. Troubleshoot issues related to data processing, pipeline failures, and query performance.
- Documentation and Best Practices: Document ETL processes, data models, and architecture. Follow best practices for code quality, testing, and deployment automation.
Required Skills:
- Strong experience in building ETL solutions using AWS Glue, Lambda, and Step Functions.
- Proficiency in PySpark and Python for data transformation and automation.
- Hands-on experience with AWS services: S3, Redshift, Athena, EMR, Glue, Lambda.
- Knowledge of Data Warehousing concepts, Lakehouse architectures, and modern data solutions.
- Ability to optimize large-scale data processing workflows.
- Experience in version control tools like Git and CI/CD pipelines.
- Familiarity with SQL and query optimization techniques.
- Strong problem-solving and troubleshooting skills.
Preferred Skills:
- Experience with AWS Lake Formation, Kinesis, and Quick Sight.
- Exposure to streaming data frameworks.
- Knowledge of infrastructure-as-code tools like Cloud Formation or Terraform.
- Familiarity with machine learning workflows on AWS.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Minimum 3-5 years of hands-on experience in AWS cloud-based ETL development.
- AWS Certification (e.g., Solutions Architect, Data Analytics) is mandatory.
Mid-Senior level
Employment typeFull-time
Job functionBusiness Development and Sales
IndustriesSoftware Development
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