Aws Cloud Data Engineer
3 days ago
**Junior Data Engineer (2 to 4 years experience)**
**Position Overview**
**Key Responsibilities**
- Design, develop, and maintain data pipelines and ETL/ELT workflows using AWS services.
- Build and optimize data lakes and data warehouses on AWS (e.g., S3, Redshift, Snowflake, Databricks).
- Implement data ingestion from multiple structured and unstructured sources.
- Develop and deploy scalable data processing solutions using AWS Lambda, Glue, EMR, Kinesis, Step Functions, and Terraform.
- Ensure data quality, governance, and security in compliance with organizational and regulatory standards.
- Collaborate with data scientists, analysts, and business stakeholders to enable analytics and AI/ML initiatives.
- Monitor, troubleshoot, and optimize data infrastructure performance and costs.
**Required Skills & Qualifications**
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- 2 to 4 years of experience in Data Engineering with strong exposure to AWS Cloud.
- Strong hands-on expertise with AWS services such as S3, Glue, Redshift, Lambda, IAM, CloudFormation/Terraform.
- Experience with data pipeline orchestration (Airflow, Step Functions, or similar).
- Proficiency in Python, SQL, and PySpark.
- Strong knowledge of data warehousing, data lakes, and data management practices.
- Familiarity with Snowflake, Databricks, or similar platforms (preferred).
- Strong understanding of DevOps practices, CI/CD pipelines, and cloud infrastructure.
- Excellent problem-solving and communication skills.
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