Data Specialist - R01525514
Brillio is the partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Backed by Bain Capital, Brillio is one of the fastest growing digital technology service providers. We help clients harness the transformative potential of the four superpowers of technology - cloud computing, internet of things (IoT), artificial intelligence (AI), and mobility. Born digital in 2014, we apply Customer Experience Solutions, Data Analytics and AI, Digital Infrastructure and Security, and Platform and Product Engineering expertise to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance. With delivery locations across United States, Romania, Canada, Mexico, and India, our growing global workforce of over 6,000 Brillians blends the latest technology and design thinking with digital fluency to solve complex business problems and drive competitive differentiation for our clients. Brillio was awarded ‘Great Place to Work’ in 2021 and 2022
Primary SkillsAzure Functions
Secondary SkillsAzure Synapse ML
SpecializationAzure Data Engineering Advanced: Senior Data Engineer
Job requirementsMust have skills : 1.Good understanding of Azure data factory, Azure Databricks, Pyspark, SQL2.Working experience with API data sources, unstructured data, Data modelling experience on Azure DW and Synapse 3.Very good understanding of Agile to deliver consistent project outcome 4.Very high data affinity and strong analytical and debugging skills for data engineering pipelines 5.Good understanding of datawarehousing concepts, Slowly changing dimensions ect 6.Familarity with CICD processes 7. Experience of 4+ years on Data Engineering 7. Good understanding of Error Handling, Logging concepts for complex workflows.
Nice to Have 1. Good understanding of CICD 2. Certifications like Azure data engineer, Databricks Data Engineer 3. Understanding of Azure Platform configuration 4. Data Engineering Exposure to AWS or GCP 5. Involved in conceptualizing and creation of Data Engineering Ingestion, transformation or Error HandingLogging framework 6. Data Modeling skillsLooking for an immediate joiner.
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