Data Engineering – Subject Matter Expert (SME)
Pune, MH, India
- Experience
- 8–15 years
- Employment
- Full-time
- Work mode
- Hybrid
- Salary
- ₹10 L–30 L / year
- Deadline
- Apply by 1 Nov 2026
- Posted
- 2025-07-24
Required skills
| Skill | Experience | Level |
|---|---|---|
| Power BI | 4+ years | Intermediate |
| Tableau | 4+ years | Intermediate |
| IBM Data stage | Not specified | Intermediate |
| Talend Open Studio | 3+ years | Intermediate |
| Data Modeling | 4+ years | Intermediate |
| SQL | 4+ years | Intermediate |
| Data Warehousing | 2+ years | Intermediate |
| Data Migration | 3+ years | Intermediate |
| Informatica | 4+ years | Intermediate |
| Databricks | 2+ years | Intermediate |
| AWS | 3+ years | Intermediate |
| Hadoop | 3+ years | Intermediate |
| Apache Spark | 4+ years | Intermediate |
| Agile Methodology | 2+ years | Intermediate |
| Agile Software Development | 2+ years | Intermediate |
About the role
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:
•
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 including Data Analysts, BI Developers, Product Owners, and IT to gather requirements and deliver data products.
•
Design and optimize data workflows using tools such as 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. Nagpur / Pune (Hybrid)
•
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 (MTech in Data Science is a plus).
•
10+ years of hands-on experience in ETL development and data engineering.
• Strong proficiency with tools: 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.
•
Scrum Master or Product Owner certifications (CSM, CSPO) are a plus