
AWS Data Engineer/ ETL Developer
4 days ago
Key Responsibilities
- Design, develop, and optimize ETL processes for structured and unstructured data.
- Collaborate with business analysts, data engineers, and BI teams to translate requirements into technical solutions.
- Implement data quality checks, validations, and exception handling.
- Perform ETL performance tuning and troubleshoot issues in production.
- Develop and maintain data models, schemas, and documentation.
- Work with large datasets across multiple sources and destinations.
- Ensure ETL pipelines adhere to best practices, security, and governance.
- Mentor junior developers and contribute to standards and guidelines.
Required Skills & Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field.
- 4+ years of hands-on experience in ETL design and development.
- Strong SQL programming (complex queries, optimization, stored procedures).
- Expertise in at least one ETL tool (Informatica, Talend, SSIS, Pentaho, etc.).
- Solid understanding of data warehousing (star/snowflake schema, indexing, partitioning).
- Proficiency with relational databases (Oracle, SQL Server, PostgreSQL, MySQL).
- Familiarity with Python/Java/Scala for data transformations.
- Strong analytical and problem-solving skills.
Preferred Skills
- Exposure to big data frameworks (Spark, Hadoop, Kafka).
- Experience with cloud data platforms (AWS Redshift/Glue, Azure Data Factory, GCP BigQuery).
- Knowledge of workflow orchestration (Airflow, Control-M, Step Functions).
- Familiarity with CI/CD pipelines and DevOps practices.
- Excellent communication and teamwork skills.
Skills: data factory,data modeling,etl,data warehouse,awsredshift
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