AWS Data Engineer/ ETL Developer

4 years

6 - 8 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

🔹 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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