Data Engineer

Project description
You'll be working in the GM Business Analytics team located in Pune. The successful candidate will be a member of the global Distribution team, which has team members in London and Pune.

We work as part of a global team providing analytical solutions for IB distribution/sales people. Solutions deployed should be extensible globally with minimal localization.

Responsibilities

Are you passionate about data and analyticsAre you keen to be part of the journey to modernize a data warehouse/ analytics suite of application(s). Do you take pride in the quality of software delivered for each development iteration

We're looking for someone like that to join us and

be a part of a high-performing team on a high-profile project.

solve challenging problems in an elegant way

master state-of-the-art technologies

build a highly responsive and fast updating application in an Agile & Lean environment

apply best development practices and effectively utilize technologies

work across the full delivery cycle to ensure high-quality delivery

write high-quality code and adhere to coding standards

work collaboratively with diverse team(s) of technologists

You are:

Curious and collaborative, comfortable working independently, as well as in a team

Focused on delivery to the business

Strong in analytical skills. For example, the candidate must understand the key dependencies among existing systems in terms of the flow of data among them. It is essential that the candidate learns to understand the 'big picture' of how IB industry/business functions.

Able to quickly absorb new terminology and business requirements

Already strong in analytical tools, technologies, platforms, etc. The candidate must also demonstrate a strong desire for learning and self-improvement.

Open to learning home-grown technologies, support current state infrastructure and help drive future state migrations. imaginative and creative with newer technologies

Able to accurately and pragmatically estimate the development effort required for specific objectives

You will have the opportunity to work under minimal supervision to understand local and global system requirements, design and implement the required functionality/bug fixes/enhancements. You will be responsible for components that are developed across the whole team and deployed globally.

You will also have the opportunity to provide third-line support to the application's global user community, which will include assisting dedicated support staff and liaising with the members of other development teams directly, some of which will be local and some remote.

Skills
Must have

A bachelor's or master's degree, preferably in Information Technology or a related field (computer science, mathematics, etc.), focusing on data engineering.

5+ years of relevant experience as a data engineer in Big Data is required.

Strong Knowledge of programming languages (Python / Scala) and Big Data technologies (Spark, Databricks or equivalent) is required.

Strong experience in executing complex data analysis and running complex SQL/Spark queries.

Strong experience in building complex data transformations in SQL/Spark.

Strong knowledge of Database technologies is required.

Strong knowledge of Azure Cloud is advantageous.

Good understanding and experience with Agile methodologies and delivery.

Strong communication skills with the ability to build partnerships with stakeholders.

Strong analytical, data management and problem-solving skills.

Nice to have

Experience working on the QlikView tool

Understanding of QlikView scripting and data model

Other

Languages

EnglishC1 Advanced

Seniority

Senior