Data Engineer for RR

Quest Global; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Quest Global in Bengaluru is seeking a Senior Data Engineer to design, build and optimize data pipelines across Azure data services. You will work with analysts, architects and data scientists to translate business needs into scalable solutions and ensure data quality and security.

The role emphasizes end-to-end delivery for large-scale use cases, a strong Python and Spark skill set, and collaboration within a regulated environment to drive insightful analytics.

Qualifications

• Degree level education in Mathematics, Scientific, Computing or Engineering discipline or equivalent experience.
• 6+ years of experience in Data Engineering roles including 2+ years in leading end-to-end design and implementation of data solutions for large scale use cases.
• Experience in designing solutions using databases and data storage technology using Azure data management components - Azure SQL, ADLS, Cosmos.
• Experience building, optimizing and automating data pipelines, architectures and data sets using MS Azure data management and processing components through IaaS/PaaS/SaaS implementation models.
• Proficiency in Python using different modules used for data munging.
• Be up to date with data processing technology / platforms such as Spark (Databricks).
• Experienced in Azure DevOps.

Responsibilities

• Delivering the data supply chain, understanding how data is ingested from different sources and combined / transformed into a single data set
• Understanding how to analyse, cleanse, join and transform data
• Implementing designed / specified solutions into the chosen platform with due consideration for Data Ops principles
• Working with colleagues to ensure that the cloud infrastructure available is capable of meeting the solution requirements
• Planning, designing and conducting tests of the implementations, correcting errors and re-testing to achieve an acceptable result
• Appreciate how to manage the data including security, archiving, structure and storage
• Support solution architect in creating architecture deliverables such as data architecture, data processing architecture, data testing strategy

Skills

Python

Spark Databricks

Azure DevOps

Azure SQL

Data Pipelines

Data Wrangling

Azure

Education

Degree in Mathematics / Science / Computing / Engineering

Tools

Informatica

Datastage

SSIS

Job description

Job Requirements

A data engineer works on implementing complex data projects with a focus on collecting, parsing, managing, analysing and visualising large sets of data to turn information into value using multiple platforms.

You will work with business analysts, architects and data scientists to understand customer business problems and needs, secure the data supply chain, implement analysis solutions and visualise outcomes that support improved decision making for a customer.

Key Accountabilities

• Working with colleagues to understand and implement data product requirements
• Delivering the data supply chain, understanding how data is ingested from different sources and combined / transformed into a single data set
• Understanding how to analyse, cleanse, join and transform data
• Implementing designed / specified solutions into the chosen platform with due consideration for Data Ops principles
• Working with colleagues to ensure that the cloud infrastructure available is capable of meeting the solution requirements
• Planning, designing and conducting tests of the implementations, correcting errors and re-testing to achieve an acceptable result
• Appreciate how to manage the data including security, archiving, structure and storage
• Support solution architect in creating architecture deliverables such as data architecture, data processing architecture, data testing strategy

Key Experience And Qualifications

• Degree level education in Mathematics, Scientific, Computing or Engineering discipline or equivalent experience
• Mandatory
• 6+ years of experience of Data Engineering roles including 2+ years in leading end-to-end design and implementation of data solutions for large scale use cases
• Experience in designing solutions using databases and data storage technology using Azure data management components - Azure SQL, ADLS, Cosmos
• Experience building, optimizing and automating data pipelines, architectures and data sets using MS Azure data management and processing components through IaaS/PaaS/SaaS implementation models implemented through custom solutions
• Proficiency in Python using different modules used for data munging
• Be up to date with data processing technology / platforms such as Spark (Databricks)
• Experienced in Azure DevOps
• Desirable
• Experience of working in tightly regulated industry is desirable
• Experience with ETL and/or data integration tool such as Informatica, Datastage, SSIS is highly desirable
• Good understanding of Azure infrastructure components and their fit in different types of data solutions

Work Experience

A data engineer works on implementing complex data projects with a focus on collecting, parsing, managing, analysing and visualising large sets of data to turn information into value using multiple platforms.

You will work with business analysts, architects and data scientists to understand customer business problems and needs, secure the data supply chain, implement analysis solutions and visualise outcomes that support improved decision making for a customer.

Key Experience And Qualifications

• Degree level education in Mathematics, Scientific, Computing or Engineering discipline or equivalent experience
• Mandatory
• 6+ years of experience of Data Engineering roles including 2+ years in leading end-to-end design and implementation of data solutions for large scale use cases
• Experience in designing solutions using databases and data storage technology using Azure data management components - Azure SQL, ADLS, Cosmos
• Experience building, optimizing and automating data pipelines, architectures and data sets using MS Azure data management and processing components through IaaS/PaaS/SaaS implementation models implemented through custom solutions
• Proficiency in Python using different modules used for data munging
• Be up to date with data processing technology / platforms such as Spark (Databricks)
• Experienced in Azure DevOps
• Desirable
• Experience of working in tightly regulated industry is desirable
• Experience with ETL and/or data integration tool such as Informatica, Datastage, SSIS is highly desirable
• Good understanding of Azure infrastructure components and their fit in different types of data solutions