Technical Lead - ETL Data Engineer

Job Title:

Technical Lead - ETL Data Engineer

Experience:

12 - 16 Years

Location

- Hyderabad

Job Summary:

We are seeking a highly skilled and experienced

ETL Data Engineer

with a strong foundation in AWS, data warehousing, and application migration. The ideal candidate will be responsible for designing and maintaining cloud-based data solutions, leading teams, collaborating with clients, and ensuring smooth migration of on-premises applications to the cloud.

Key Responsibilities:

• Engage directly with clients to understand requirements, provide solution design, and drive successful project delivery.
  
• Lead cloud migration initiatives, specifically moving on-premise applications and databases to AWS cloud platforms.
  
• Design, develop, and maintain scalable, reliable, and secure data applications in a cloud environment.
  
• Lead and mentor a team of engineers; oversee task distribution, progress tracking, and issue resolution.
  
• Develop, optimize, and troubleshoot complex SQL queries and stored procedures.
  
• Design and implement robust ETL pipelines using tools such as

  Talend

  ,

  Informatica

  , or

  DataStage

  .
• Ensure optimal usage and performance of

  Amazon Redshift

  and implement performance tuning strategies.
• Collaborate across teams to implement best practices in cloud architecture and data management.
  

Requirements

Required Skills and Qualifications:

• Strong hands-on experience with the

  AWS ecosystem

  , including services related to storage, compute, and data analytics.
• In-depth knowledge of

  data warehouse architecture

  and best practices.
• Proven experience in

  on-prem to cloud migration projects

  .
• Expertise in at least one

  ETL tool

  :

  Talend, Informatica, or DataStage

  .
• Strong command of

  SQL

  and

  Stored Procedures

  .
• Practical knowledge and usage of

  Amazon Redshift

  .
• Demonstrated experience in

  leading teams

  and managing project deliverables.
• Strong understanding of

  performance tuning

  for data pipelines and databases.

Good to Have:

• Working knowledge or hands-on experience with

  Snowflake

  .

Educational Qualification:

• Bachelors or Masters degree in Computer Science, Information Technology, or related field.
  

Benefits
As per company standards.