Technical Lead - DataStage

Location:

About the Role:

We are seeking an experienced and highly skilled Tech Lead to spearhead our cloud migration initiatives. The ideal candidate will have a minimum of 13 years of experience in the IT industry, with a strong focus on data engineering, ETL, and a proven track record of successfully leading large-scale cloud migration projects. This role requires a hands-on leader who can guide a team, architect solutions, and ensure the successful delivery of complex data transformation projects.

Key Responsibilities:

• Technical Leadership:

  Lead, mentor, and guide a team of data engineers and developers in the design, development, and implementation of cloud migration solutions.

• Solution Architecture:

  Design and architect robust, scalable, and high-performance data pipelines for migrating on-premise data to the cloud. This includes defining the migration strategy, data mapping, and transformation logic.

• Hands-on Development:

  Actively participate in the development process, writing and reviewing code, and ensuring best practices are followed.

• Technology Expertise:

  Serve as the subject matter expert for the project's technology stack, including Datastage, Azure Data Factory (ADF), Databricks, and PySpark.

• Performance Optimization:

  Identify and resolve performance bottlenecks in data pipelines and applications.

• Stakeholder Collaboration:

  Work closely with business analysts, project managers, and other technical teams to understand requirements and translate them into technical solutions.

• Mentorship and Training:

  Provide technical guidance and training to junior team members to enhance their skills and foster a culture of continuous learning.

Required Skills and Qualifications:

• Minimum of 13 years of experience in the IT industry, with a significant portion focused on data engineering and ETL.
• Proven experience as a Technical Lead, managing and mentoring a team of developers.
• Extensive hands-on experience with

  Datastage

  for ETL processes.
• Deep expertise in

  Cloud Migration projects

  , with a strong understanding of migrating data from on-premise to cloud environments.
• Proficiency in

  Azure Data Factory (ADF)

  for building and orchestrating data pipelines.
• Strong experience with

  Databricks

  and its functionalities for big data processing and analytics.
• Expertise in

  PySpark

  for developing scalable and efficient data processing applications.
• Solid understanding of cloud platforms, preferably

  Microsoft Azure

  .
• Experience with other data technologies and concepts like SQL, data warehousing, and dimensional modeling.
• Excellent problem-solving, communication, and leadership skills.