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2coms

Data Engineer // 6-10 years // Bengaluru

2coms Bengaluru, Karnataka, India · ₹1M/yr

Human Resources Services · 10,001+ employees

14 h ago
data-engineer Senior (5-10 yrs) Full-time India
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About the role

The role involves building data integrations and pipelines to connect internal and third-party data to the MDM platform. You will also be responsible for optimizing physical data structures for performance and implementing API endpoints for system access.

What they look for

Data Engineering Python Pyspark SQL Oracle SQL Server Databricks Master Data Management Reltio Workato ETL Data Modeling API Development Data Integration Data Pipelines

Requirements

Candidates must have 6-10 years of experience in data engineering with proficiency in Python, Pyspark, and SQL. Hands-on experience with MDM tools like Reltio and relational databases such as Oracle or Databricks is required.

Full description

Our Client is a global professional services firm with roughly 60,000 colleagues across 120+ countries, focusing on risk, retirement, and health solutions. The company fosters an "United" culture, emphasizing collaborative, data-driven work and a hybrid-first model.

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GENERAL DESCRIPTION OF ROLE:

We are looking for a highly skilled data engineer to join a highly motivated and hardworking team, working on one of Aon flagship applications. The ideal candidate can support the team and requirement through its life cycle, from analysis, architecture, and design, to development, testing and implementation. This is a position where you will have a visible impact on the product and its success.

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Requirements

JOB RESPONSIBILITIES:

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  • The talent in this role will build integrations and

pipelines that enable efficient joining across our internal and 3rd party data catalogue to the MDM platform

  • They are responsible for ensuring quality standards,

reviewing, and organising technical team’s work, supervising performance of integrations and responding to system issues proactively.

  • Optimize physical data structures (indexes,

partitions, storage formats) for performance and scalability.

  • Implement

API endpoints or message-based integrations so consuming systems can access golden records

  • Implement

data reconciliation checks between sources & MDM.

  • Ensure delivery of timely, innovative, accurate, and best in class

solutions.

Benefits

SKILLS/COMPETENCIES REQUIRED:

  • Experience in previous roles as a Data Engineer
  • High proficiency of knowledge in data storage and

retrieval

  • Experience with a relational database such as Oracle,

SQL Server and Databricks including data design in a production environment

  • Proficiency in data processing languages such as

Python, Pyspark, SQL

  • ETL experience including data cleansing and

preparation for modelling

  • Knowledge of Master Data Management, and hands on

experience working on MDM tools like Reltio.

  • Experience using tools such as Workato or other

visual pipeline development environment and advantage.

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