FORM

Grade Range – L6M

Dept: Data Lead

Job Title: Senior Data Engineer Lead

Current Job Holder Name

Reports To: Lead Data Engineer (7 to 10 Years)

Location: Mumbai

1: Job Purpose Statement (Summaries in one/two statements why this job exists, and the contribution makes to the overall business of the company).

Building / Maintaining Data lakehouse for FSS level for different line businesses in MMFSL

2: Duties &

Responsibilities (List in the order of importance the duties &

responsibilities of this job )

 Design, architect, and develop end-to-end data solutions on the Azure Stack platform.



Implement and optimize data pipelines, ETL processes, and data integration solutions using

Azure Data Factory, Azure Data Lake, Azure Databricks, Azure SQL Database, and other relevant

Azure services.

 Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.

 Perform advanced data modelling, data profiling, and data quality assessments to ensure accurate and reliable data.

 Optimize data processing workflows for performance, scalability, and cost efficiency.



Implement data governance, data security, and compliance practices in line with industry standards and regulations.

 Monitor and troubleshoot data solutions, identify, and resolve issues, and implement proactive measures to ensure data availability and reliability.

 Mentor and guide junior data engineers, provide technical leadership, and contribute to the continuous improvement of data engineering practices.

3: Key Challenges (List the key tasks performed to support the main objectives of the positions)

Interaction with all stakeholders across various business , IT functions and implementation partners

 Creating a data culture and data awareness in the organization by implementing centralized data Lakehouse, Data warehouse

4:



Decision Making Authority (Describes the type of decisions made alone, those on which the manager must be consulted, those referred to a higher level, and job procedures to be followed).

Pursue Independently o Managing internal data eng. & partner team o Building relationships with different vertical o Escalations with dept. Heads

5.

Organizational

Relationship (Provide an organizational chat which illustrates the organizational structure for this position)

Name of the Reviewing Officer

- List of Internal & external stakeholders the role is expected to interact with to execute duties effectively.

Business Heads, IT teams, Operational teams, Data Science Teams, BI Teams

- Job Requirements (Describe the educational requirements, suggested year and type of experience, nature and extent of skill/abilities required for the desired position)

o Team management skills o Problem Solving o Communication

Skills o Interpersonal Skills o Collaboration Skills

Professional Qualification Skills o Bachelor’s or master’s degree in computer science, Information

Systems, or a related field.

o Experience with cloud-based analytics platforms such as

Databricks, Azure

Synapse analytics,

Other data specific cloud services o Familiarity with

DevOps practices and

CI/CD pipelines for data engineering.

Competencies o Strong problem-solving,

analytical, and troubleshooting skills.

o Excellent communication and collaboration skills,

with the ability to work effectively in a team workplace.

o Strong problem-solving,

analytical, and troubleshooting skills.

Knowledge o Python/SQL programming o Extensive hands-on experience with Azure data services such as Azure Data

Factory, Azure Data Lake,

Azure Databricks, Azure SQL

Database, etc.

o Proven expertise in designing and implementing complex data integration solutions and data pipelines on the Azure Stack platform.

o Experience with data governance frameworks, data security, and compliance practices.

In-depth knowledge of big data technologies such as

Apache Spark, Hadoop, or

Databricks.

📌 Lead Data Enineer (Mumbai)
🏢 Mahindra Finance-IT
📍 Mumbai