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Azure Data Engineer

2 months ago

Bangalore City, India Andor Tech Full time
Role - Azure Data engineer.Mandatory Hands-on skills - Databricks, Azure Data Factory, SQL, Data modelling, Python. CI/CD is good to haveExperience : 6+yrs JD:The Data Engineer is responsible for identifying relevant data to be gathered and implementing a solution to do so, including knowledge of where to get the data, how to extract it in the right format, and how to augment the data to support data science/analysis requirements. Able to build a robust, fault-tolerant data pipeline that cleans, transforms and aggregates un-organised and messy data into databases or data sources. Able to ensure that data flows smoothly from source to destination so that it can be processed.
- Work together with the Solution- and Data Architect to design the next generation big data platform to support the digital marketing platform.
- Design and implement a new big data solution which supports high amounts- and velocity of data, supports future growth, use latest big data technologies/techniques, is cloud supported and in-line with strategies.
- Design and implement modern data pipelines to extract, clean and process data in batch and real-time from different data sources.
- Use the latest development, testing and deployment techniques to quickly deploy new releases to e.G. deploy new data pipelines and add data sources.
- Help establish best practices around data governance, data security- and privacy (GDPR).
- Work together with the solution- and data architect to the define the target data strategy.Drives and applies Agile Framework within his/her operating environment. Will take direct reports, when applicable, through Agile Framework and its respective tools.
- Source Code Control (e.G. Git, Subversion).
- Open-Source Frameworks (Apache Spark, Hadoop etc.)
- Strong design and coding skills (e.G. Python, Scala, JavaScript).
- Experience with reporting/visualization tools (e.G. SAP Lumira/Design Studio, Spotfire, Power BI)
- Comfortable to work with global stakeholders, internally and externally.
- Experience with SAP technologies (SAP ECC/ERP, SAP BW, SAP HANA etc.)
- Experience with SQL-based technologies (e.G. MSSQL, MySQL, PostgreSQL).
- Experience with Restful API developments.
- Experience with data blending technology (e.G. Alteryx)
- Experience with Microsoft or AWS data stack e.G. Microsoft Azure Data Lake, Hadoop (preferably with Spark), Cosmos DB, HDInsight/HBase, MongoDB, Redis, Azure Table/Blob stores etc.Job Experience RequirementsExperiences
- Interpretation of data, highly analytical, troubleshooting and problem-solving skills.
- Experience with data architecture and design techniques (local/abstract).
- Experience with API techniques/developments.
- Experience with data transformation/blending technology (e.G. Alteryx is preferred).
- Experience with working concepts as data pipelining / data wrangling
- Experience with big data platforms; working with large datasets, large amounts of data in motion and numerous big data technologies.
- Agile Project Delivery techniques (e.G. SCRUM) & experience creating and using a wide range of scrum and agile artefacts and techniques, automated testing, personas, user stories, agile games etc
- Awareness of Agile Framework and its tools such as Visual Studio Team Services (VSTS)