Azure Data Engineer
Arcadis (company site, opens in a new tab)9–15 yrsBengaluru, HyderabadHybridDirect career pageEst. 25–40 LPA
Posted on 25 Sept
Reach people at Arcadis
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Arcadis you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own end-to-end design, development, deployment, and support of data engineering solutions on Microsoft Azure Data Platform in an Agile and DevOps environment.
- Develop and optimize scalable data pipelines and frameworks using Azure technologies including Azure Data Factory, Azure Data Lake, Azure SQL DB/DW, and Microsoft Fabric components.
- Lead solution craftsmanship including security, availability, resilience, and mentor peers on Azure data platform skills.
Minimum Requirements
- Bachelor's degree in Engineering, Math, Statistics, Econometrics, or related discipline.
- 9-15 years of total experience with at least 3 years hands-on experience on Azure Data Platform mandatory.
- Hands-on skills required: T-SQL, SSIS, SSAS, SSRS, Azure Data Factory, Azure Data Lake Store, Azure SQL DB/DW, Azure Data Bricks (Python/Scala), Power BI development and publishing.
- Intermediate-level hands-on experience with Microsoft Fabric components such as Pipelines, Dataflows Gen2, ADLS Gen2, Notebooks, Lakehouse, Warehouse, and Delta tables.
Ideal Candidate Profile
- Strong expertise in SQL optimization, complex transformations, and performance tuning with a focus on scalable distributed data processing (PySpark, Delta Lake).
- Experience building reusable frameworks and implementing CI/CD using DevOps tools like TFS and Azure Repos in data analytics solutions.
- Comfortable working collaboratively in Agile teams with strong communication skills to understand and translate business logic into data solutions.