Job Summary:

We are seeking a seasoned Data Engineering SME with strong experience in data platforms, ETL tools, and cloud technologies. The ideal candidate will lead the design and implementation of enterprise-scale data solutions, provide strategic guidance on data architecture, and play a key role in data migration, data quality, and performance tuning initiatives. This role demands a mix of deep technical expertise, project management, and stakeholder communication.

Key Responsibilities:

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Lead the design, development, and deployment of robust, scalable ETL pipelines and data solutions.

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Provide technical leadership and SME support for data engineering teams across multiple projects.

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Collaborate with cross-functional teams including Data Analysts, BI Developers, Product Owners, and IT to gather requirements and deliver data products.

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Design and optimize data workflows using tools such as IBM DataStage, Talend, Informatica, and Databricks.

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Implement data integration solutions for structured and unstructured data across on-premise and cloud platforms.

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Conduct performance tuning and optimization of ETL jobs and SQL queries.

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Oversee data quality checks, data governance compliance, and PII data protection strategies.

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Support and mentor team members on data engineering best practices and agile methodologies. Nagpur / Pune (Hybrid)

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Analyze and resolve production issues in a timely manner.

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Contribute to enterprise-wide data transformation strategies including legacy-to-digital migration using Spark, Hadoop, and cloud platforms.

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Manage stakeholder communications and provide regular status reports.

Required Skills and Qualifications:

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Bachelor's degree in Engineering, Computer Science, or a related field (MTech in Data Science is a plus).

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10+ years of hands-on experience in ETL development and data engineering.

• Strong proficiency with tools: IBM DataStage, Talend, Informatica, Databricks, Power BI, Tableau.

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Strong SQL, PL/I, Python, and Unix Shell scripting skills.

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Experience with cloud platforms like AWS and modern big data tools like Hadoop, Spark.

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Solid understanding of data warehousing, data modeling, and data migration practices.

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Experience working in Agile/Scrum environments.

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Excellent problem-solving, communication, and team collaboration skills.

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Scrum Master or Product Owner certifications (CSM, CSPO) are a plus