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Tech Stack
Tools & technologiesAzureCloudETLJavaPythonScalaSQL
About the role
Key responsibilities & impact- Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory and Azure Databricks
- Collaborate with data professionals to understand data requirements and develop solutions
- Ensure data quality and consistency from various sources
- Follow data governance policies to ensure data security and compliance
- Stay up to date with tools and technologies for enhancing data infrastructure
Requirements
What you’ll need- 5+ years of relevant industry experience as Data Engineer
- Experience in building and operationalizing Data pipelines in cloud MS Azure
- Familiarity with DevOps and CICD pipelines
- Working knowledge on MS azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server)
- Good knowledge of data warehousing concepts and relational data modelling
- Familiarity with programming in both compile languages (Java, Scala) and scripting languages (Python, SQL, R)
- Understanding of Agile scrum methodologies and experience of working in an Agile team
Benefits
Comp & perks- Health insurance
- Flexible work arrangements
- Professional development
- Inclusion and well-being support
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ETLELTAzure Data FactoryAzure DatabricksSQLJavaScalaPythonRdata warehousing
Soft Skills
collaborationdata quality assurancedata governancecommunicationproblem-solvingadaptabilityteamworkattention to detailorganizational skillstime management
