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.
What You Will Do
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
What You Will Bring
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
Pay Range: $100K-$150K
Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.
Work Requirements: This is an onsite position in Indianapolis, IN
You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours.
Shop floor environment, which may include but not limited to extensive walking, and ability to lift up to 40 lbs.
Travel Requirements: Due to the nature of the work, no travel is required.
Citizenship Requirements: Due to the nature of the work, U.S. citizenship is required.
Benfits
401(k)
401(k) matching
Dental insurance
Health insurance
Life insurance
Paid time off
Referral program
Vision insurance
Short/Long Term Disability
