Principal Data Architect

1 week ago


Jaipur, Rajasthan, India beBeeEngineer Full time ₹ 25,00,000 - ₹ 30,00,000
Cloud Migration Engineer Job Description">

Next Pathway is a technology services company providing clients a pathway from existing to emerging technologies. Our automation technology helps our customers accelerate the migration of complex applications and workloads to the cloud.

About the Role:

We are seeking an experienced Cloud Migration Engineer to join our team, specializing in large-scale cloud migration projects. The ideal candidate will have a minimum of 10 years of experience in data engineering and ETL, with a strong background in migrating on-premise data systems to the cloud.

Key Responsibilities:

  • Design, develop, and deploy robust and scalable data pipelines for migrating data from various on-premise sources to cloud platforms.
  • Act as a subject matter expert in project core technologies, including Datastage, Azure Data Factory (ADF), Databricks, and PySpark.
  • Collaborate with architects and technical leads to design efficient and effective cloud migration strategies and data transformation solutions.
  • Ensure delivery of high-quality, well-documented, and maintainable code.
  • Participate in code reviews and provide constructive feedback to peers.
  • Optimize the performance of data pipelines and applications to ensure efficiency and scalability.
  • Troubleshoot and resolve complex technical issues related to data migration, data quality, and system performance.
  • Work closely with cross-functional teams to understand requirements and deliver successful outcomes.
  • Provide guidance and technical support to junior engineers, helping them grow their skills and contribute effectively to the team.

Required Skills and Qualifications:

  • Minimum of 10 years of experience in the IT industry, with a focus on data engineering and ETL development.
  • Extensive hands-on experience with Datastage for building and managing ETL jobs.
  • Proven experience in Cloud Migration projects, with a strong understanding of the challenges and best practices involved in moving data to the cloud.
  • In-depth knowledge and hands-on experience with Azure Data Factory (ADF) for building and orchestrating data workflows.
  • Strong proficiency in Databricks and its ecosystem, including notebooks, jobs, and Delta Lake.
  • Expertise in PySpark for developing data processing applications on a distributed computing framework.
  • Solid understanding of cloud platforms, preferably Microsoft Azure.
  • Experience with SQL and database concepts.
  • Excellent analytical, problem-solving, and communication skills.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.


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