Data EngineerGurgaon/Bangalore, India
AXA XL recognizes data and information as critical business assets, both in terms of managing risk and enabling new business opportunities. This data should not only be high quality, but also actionable – enabling AXA XL’s executive leadership team to maximize benefits and facilitate sustained industrious advantage. Our Chief Data Office also known as our Innovation, Data Intelligence & Analytics team (IDA) is focused on driving innovation through optimizing how we leverage data to drive strategy and create a new business model – disrupting the insurance market. As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and data-driven insights, we are seeking an Assistant Scientist for our Data Engineering team. The role will support the team’s efforts towards creating, enhancing, and stabilizing the Enterprise data lake through the development of the data pipelines.This role requires a person who is a team player and can work well with team members from other disciplines to deliver data in an efficient and strategic manner.
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What will your essential responsibilities include?
·Act as a data engineering expert and partner to Global Technology and data consumers in controlling the complexity and cost of the data platform, whilst enabling performance, governance, and maintainability of the estate.
·Understand current and future data consumption patterns, and architecture (granular level), and partner with Architects to ensure optimal design of data layers.
·Apply best practices in Data architecture. For example, the balance between materialization and virtualization, the optimal level of de-normalization, caching and partitioning strategies, choice of storage and querying technology, and performance tuning.
·Leading and hands-on execution of research into new technologies. Formulating frameworks for assessment of new technology vs business benefit, implications for data consumers.
·Act as a best practice expert, and blueprint creator of ways of working such as testing, logging, CI/CD, observability, and release, enabling rapid growth in data inventory and utilization of Data Science Platform.
·Design prototypes and work in a fast-paced iterative solution delivery model.
·Design, Develop and maintain ETL pipelines using Pyspark in Azure Databricks using delta tables.
·Use Harness for the deployment pipeline.
·Monitor the Performance of ETL Jobs, resolve any issue that arises and improve the performance metrics as needed.
·Diagnose system performance issues related to data processing and implement solutions to address them.
·Collaborate with other teams to ensure successful integration of data pipelines into larger system architecture requirements.
·Maintain integrity and quality across all pipelines and environments.
·Understand and follow secure coding practices to make sure the code is not vulnerable.
You will report to the Data Warehousing Principal Engineer.
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We’re looking for someone who has these abilities and skills:
Required Skills and Abilities:
·Outstanding communication skills.
·Bachelor’s degree in computer science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience.
·Relevant years of extensive work experience in various data engineering & modelling techniques (relational, data warehouse, semi-structured, etc.), application development, and advanced data querying skills.
·Relevant years of programming experience using Databricks.
·Outstanding experience using Microsoft Azure suite of products (ADF, synapse and ADLS).
·Solid knowledge of network and firewall concepts.