Data Engineer - Octave: Data and Advanced Analytics Centre of

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Our business built over 150 years touches nearly every major sector of the economy. We generate a significant quantum of data and we intend to use it to build the future of our businesses. Our Digital and Analytics insights canpositively disrupt life for all Sri Lankans and our commitment to passion and excellence will help to deliver superior value to customers, our people and the community.

Octave will be the cornerstone of our data driven strategic and operational decisions!

Team Octave will solve JKH’s most intractable problems across industry verticals by building pipelines using Python and Azure data factory to work on one of the country’s richest data lakes, building and implementing complex machine learning algorithms which will impact millions of Sri Lankans.

We are looking for driven and enthusiastic analytics practitioners for our Data and Advanced Analytics Centre of Excellence- Octave.

Role description

The Data Engineers will work with the data engineering team to help develop high performance & high scalability enterprise applications. Working closely with more experienced data engineers, they will be learning how to build pipelines and manage data. They will also work with data scientists and business leadership to develop data pipelines for model development and productionalization. Their work will involve high level of interface with senior data engineers and the tech lead.

Key responsibilities

Gather requirements, assess gaps and build roadmaps and architectures

Work closely with Data Analysts to ensure data quality and availability for analytical modelling

Work with data engineers and senior data engineers and learn how to explore suitable options, design, and create data pipelines (data lake / data warehouses) for specific analytical solutions

Identify gaps and implement solutions for data security, quality and automation of processes

Support maintenance, bug fixing and performance analysis along data pipeline

Contribute to knowledge building and sharing by researching best practices, documenting solutions and continuously iterating on new ways to solve problems

Desired Skills / Competencies

Education + Technical skills / experience

Bachelor's degree in Computer Science, Engineering, Mathematics or Statistics.

2+ years of experience in data engineering field

Basic knowledge of at least 1 programming language

Basic understanding of Microsoft Azure or other leading cloud platforms

Limited understanding of maintaining and configuring data engineering and ETL tools (e.g., Informatica, Azure Data Factory, SSIS)

Basic understanding of data tools such as Hive, Spark, Hadoop, or Presto

Managerial Skills

Ability to work well in agile environments in diverse teams with multiple stakeholders

Strong project management and organizational skills

Ability to effectively communicate complex analytical and technical content

Mindset & Behavior

High energy and passionate individual who inspires teammates to reach their maximum potential

Excited about trying new solutions outside standard approved

Willing to adopt an iterative approach; experimental mindset to drive innovation