Data Engineer

Found in: Whatjobs IN C2 - 2 weeks ago

Bengaluru, India AXA Full time

About AXA:

Axa as one of the largest global insurers, our purpose is to act for human progress by protecting what matters. Protection has always been at the core of our business, helping individuals, businesses and societies to thrive. And AXA has always been a leader, an innovator, an entrepreneurial company, fostering progress in all its dimensions. Our purpose also links back to the Group's roots. From the outset, AXA has been committed to acting as a force for collective good. From solidarity-based actions with AXA Hearts In Action to work on prevention issues with the AXA Research Fund and the fight against climate change, AXA has always been attentive to its social environment and embraced its responsibility as an insurer: responsibility for taking action upstream in order to better understand risks, with one goal in mind: to ensure better protection. Our values reflect the culture that the Group’s teams around the world live and express each day. The strength of AXA’s company culture and its outstanding managerial continuity over more than 40 years can also be seen in the proximity of its values across the various periods. Courage, Integrity, One AXA and Customer First are the four core values adopted by the Group since 2016. Our Vision is to transform AXA’s value proposition “from payer to partner”, by delivering new services complementing the traditional insurance coverage and by building new business models to increase the protection of our customers.


Key accountabilities:

As a Data Engineer you will be accountable for:

Understanding operational needs by collaborating with specialized teams

Supporting key AXA business operations. This involves architecture designing, building and deploying data systems, pipelines etc

Build agile, scalable, and cost efficiency solution on cloud data services.


Technical and professional skills:

We are looking for a flexible, fast learning, technically strong Data Engineer. Expertise is required in the following fields:

Proficient in Cloud Services –Azure

Build ETL and data movement solutions.

Migrate data from traditional database systems to Cloud environment

Strong hands-on experience for working with Streaming dataset

Building Complex Notebook in Databricks to achieve business Transformations.

Hands-on Experience in Data Refinement using Pyspark and Spark SQL

Familiarity with building dataset using Scala.

Familiarity with tools such as Jira and GitHub

Experience leading agile scrum, sprint planning and review sessions

Good communication and interpersonal skills


Soft skills and competencies:

Good communication skills to coordinate between business stakeholders & engineers

Strong results-orientation and time management

True team player who is comfortable working in a global team

Ability to establish relationships with stakeholders quickly in order to collaborate on use cases

Autonomy, curiosity and innovation capability

Comfortable working in a multidisciplinary team within a fast-paced environment


Background and experience:

Bachelor’s Degree in Computer Science or related field

  • 4-6 years of experience in Cloud Data Engineering.

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