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Full-time
bachelor degree, postgraduate degree
Posted 7d ago
Apply by Aug 9
~40 hrs/week
Responsibilities
Collaborate with cross-functional teams to design and implement end-to-end data pipelines and data warehouses. Manage database modeling, performance tuning, and the operational maintenance of data-centric projects.
Requirements
Requires 3-5 years of experience with a strong background in Apache Spark and Databricks. Candidates must possess expertise in SQL, data integration, and building scalable data solutions within cloud environments.
Full job description
Job Title- Data Engineer
Position type- Full Time
Work Location- Bangalore, Noida, Gurgaon
Working style- Hybrid
Shift Time - 10AM - 7PM / 12 PM. to 9 PM
People Manager role: No
Required education and certifications critical for the role- Btech or Master’s degree in computer science
Required years of experience –
3-5 years of relevant experience
Aon is in the business of better decisions
At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.
Responsibilities:
Collaborate with teams of experienced actuaries, developers and business experts to deliver projects
Design and propose end-to-end data pipelines ((ingestion to storage to consumption) for data projects as well as databases to support web-based applications
Implementation of data warehouses and data marts to serve data consumers
Execute implementation of the designs and bring it from design stages to implementation followed by operationalization to maintenance
Database design and modelling. To be able to organize data at both macro and micro level and provide logical data models for the consumers
Database performance tuning and data lifecycle management
Assist in support and enhancements of existing data pipelines and databases
Requirements:
3+ years of total experience working with data integration teams.
1+ years of in-depth experience developing data pipelines within an Apache Spark environment (preferably Databricks).
1+ years of active hands-on work with Databricks, demonstrating in-depth experience.
Good experience in building data pipelines that ingests various types of data sources into a database or data lake and populating a structured warehouse or data mart that fuels the data consumer.
Fluent in both complex SQL query, Spark performance tuning
Good knowledge of database technologies, data warehousing.
Have experience in building data warehouses/data marts
Understand the importance of performance and able to implement best practices in ensuring performance and maintainability for data-centric projects
This person is required to be dynamic and be a quick eager learner as knowledge about new technologies will need to be acquired on the spot
Nice to haves:
Experience integrating AI into data engineering.
Certifications in Databricks, cloud computing or database management.
Experience developing data solutions using native IaaS and PaaS solutions on AWS (RDS, S3).
Experience in any object-oriented programming language.
Experience with BI and analytics tools like Power BI or Tableau.
We exist to shape decisions for the better — to protect and enrich the lives of people around the world. Through actionable analytic insight, globally integrated Risk Capital and Human Capital expertise, and locally relevant solutions, our colleagues provide clients in over 120 countries with the clarity and confidence to make better risk and people decisions that help protect and grow their businesses.
Offices: 122 Leadenhall Street, London, EC3V 4AN, GB · 200 East Randolph St., Chicago, IL 60601, US · 201 Kent St, Sydney, NSW 2000, AU · 1650 Market St, Philadelphia, PA 19103, US · Noida, UP 201303, IN
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