Lead Data Engineer

7 days ago


Lansing, United States AA SOFTWARE & NETWORKING PRIVATE LIMITED Full time

Job Title: Lead Data Engineer / ETL Developer

Experience: 12+ Years

Location:

Job Type: Full-Time


Overview:


We are seeking a highly experienced Senior Data Engineer/ETL Developer with over 12 years of expertise in data warehousing, ETL technologies, and cloud-based data solutions. The ideal candidate will have strong skills in designing, developing, and optimizing data pipelines, data integration, and business intelligence solutions, leveraging tools like Informatica, Snowflake, and AWS services.


Key Responsibilities:


  • Design, implement, and optimize ETL workflows using tools such as Informatica PowerCenter, Talend, and IICS for extracting, transforming, and loading data from diverse sources into target data warehouses.
  • Develop and manage data models using tools like Erwin and implement dimensional modeling principles (Kimball/Inmon).
  • Work on cloud data platforms (AWS, Snowflake, and Redshift) to implement data pipelines and ELT processes using tools like dbt and Airflow.
  • Conduct performance tuning for ETL processes, SQL queries, and data models to improve processing efficiency.
  • Collaborate with business analysts and stakeholders to translate requirements into scalable data warehouse and reporting solutions.
  • Implement data governance, quality frameworks, and PII compliance checks.
  • Support data migration projects from legacy systems to modern cloud platforms, ensuring data integrity and accuracy.
  • Participate in Agile/Scrum processes and manage deployments using Jenkins or Git-based pipelines.
  • Provide on-call production support and debug complex issues in ETL processes.


Qualifications:


  • Extensive experience with ETL tools like Informatica PowerCenter, Talend, and IICS.
  • Proficiency in cloud platforms like AWS (S3, Athena, Glue, RDS) and Snowflake.
  • Strong SQL and database skills with platforms such as Teradata, Oracle, PostgreSQL, and SQL Server.
  • Hands-on experience with scheduling tools like Tidal, Control-M, and Airflow.
  • Proficiency in Python, PL/SQL, and UNIX shell scripting for data transformations and process automation.
  • Experience with BI tools like Tableau and Power BI.
  • Strong understanding of data warehousing concepts, dimensional modeling, and data integration patterns.
  • Experience in Agile environments with tools like GitHub and Jenkins for CI/CD.


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