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Manager - Data Engineering at Mmc Careers

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Mmc Careers

Gautam Buddha Nagar · Hybrid · Oct 6

1 open role0 posted in 7d1 in 30d

Hiring: Engineering

Job description

Hybrid

Overview

We are seeking a talented individual to join our Marsh Risk Tech team, a Marsh business.

Responsibilities

Design and implement scalable data pipelines using Databricks Lakehouse architecture.
Build and maintain data products aligned with Medallion Architecture (Bronze, Silver, and Gold layers).
Develop ingestion, transformation, and consumption pipelines following modern data engineering best practices.
Design business-ready Gold layer datasets to support reporting, analytics, and downstream consumption.
Build and manage Delta Lake tables and data assets.
Implement incremental processing using Merge, Upsert, and Change Data Capture (CDC) patterns.
Leverage Delta Lake features such as: ACID transactions, Time Travel, Schema Enforcement, Schema Evolution, Data Versioning
Optimize Delta tables using partitioning, compaction, and performance tuning techniques.
Analyze existing data flows and SQLs and translate legacy workflows into optimized PySpark-based data pipelines.
Document transformation logic and migration approaches.
Build scalable PySpark applications on Databricks.
Develop reusable frameworks and components to accelerate migration efforts.
Tune Spark jobs for performance and resource efficiency.
Analyze Spark execution plans and implement optimization recommendations.
Implement data quality checks, reconciliation processes, and validation frameworks.
Write complex SQL queries, stored procedures, and performance-optimized data transformations.
Perform data analysis, profiling, and troubleshooting using SQL.
Optimize queries and data models for large-scale datasets.
Unity Catalog and governance concepts
Implement data quality, monitoring, and reconciliation frameworks.
Support data lineage, metadata management, and governance initiatives.
Contribute to CI/CD and deployment automation practices.
Strong hands-on experience with Databricks and Spark-based data engineering.

Qualifications

Knowledge of data quality, lineage, governance, and observability practices.
Prior experience with Informatica.
Cloud experience (AWS preferably).
We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

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Job application FAQ

Last updated 10 October 2026

How do I apply for Manager - Data Engineering at Mmc Careers?: Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Mmc Careers may attach structured assessments to interview rounds after you apply.
Does Feedback AI show a match score for this Manager - Data Engineering role?: Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
Is Manager - Data Engineering remote or on-site in Gautam Buddha Nagar, Uttar Pradesh?: This listing is marked hybrid with location Gautam Buddha Nagar, Uttar Pradesh. Confirm details on the job description before applying.
What skills matter for this Manager - Data Engineering role at Mmc Careers?: Key skills for this role include Hybrid. Upload a resume to see which requirements you already meet and which are gaps.

Job description

Overview

Responsibilities

Qualifications

Job application FAQ

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