Senior Cloud Migration Specialist

1 day ago

Gandhinagar, Gujarat, India beBeeCloudMigration Full time ₹ 35,00,000 - ₹ 50,00,000

At the forefront of technological innovation, our company is at the vanguard of crafting cutting-edge solutions for seamless cloud migration.

About This Opportunity:

We are seeking an experienced professional to spearhead large-scale cloud migration projects. Ideal candidates 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.
  • Serve 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.
  • Analyze and optimize 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, including business analysts, data scientists, and other engineers, to understand requirements and deliver successful outcomes.

Built upon proven expertise in data engineering and ETL development, this role demands dedication, resilience, and creativity.

Required Skills and Qualifications:

  • Minimum of 10 years of experience in IT industry, with 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 strong understanding of 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 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 related field.

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