Data Engineering Professional

3 days ago

Pune, Maharashtra, India beBeeDataEngineering Full time ₹ 1,50,00,000 - ₹ 2,20,00,000
Enterprise Data Solutions Architect

We are seeking a seasoned data engineering professional to lead the design and implementation of enterprise-scale data solutions. The ideal candidate will have strong experience in data platforms, ETL tools, and cloud technologies.

Job Responsibilities :

  • Lead the design, development, and deployment of robust, scalable ETL pipelines and data solutions.
  • Provide technical leadership and SME support for data engineering teams across multiple projects.
  • Collaborate with cross-functional teams to gather requirements and deliver data products.
  • Design and optimize data workflows using IBM DataStage, Talend, Informatica, and Databricks.
  • Implement data integration solutions for structured and unstructured data across on-premise and cloud platforms.
  • Conduct performance tuning and optimization of ETL jobs and SQL queries.
  • Oversee data quality checks, data governance compliance, and PII data protection strategies.
  • Support and mentor team members on data engineering best practices and agile methodologies.
  • Analyze and resolve production issues in a timely manner.
  • Contribute to enterprise-wide data transformation strategies including legacy-to-digital migration using Spark, Hadoop, and cloud platforms.
  • Manage stakeholder communications and provide regular status reports.

Required Skills and Qualifications :

  • Bachelor's degree in Engineering, Computer Science, or a related field.
  • 10+ years of hands-on experience in ETL development and data engineering.
  • Strong proficiency with IBM DataStage, Talend, Informatica, Databricks, Power BI, Tableau.
  • Strong SQL, PL/I, Python, and Unix Shell scripting skills.
  • Experience with cloud platforms like AWS and modern big data tools like Hadoop, Spark.
  • Solid understanding of data warehousing, data modeling, and data migration practices.
  • Experience working in Agile/Scrum environments.
  • Excellent problem-solving, communication, and team collaboration skills.

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