Job Name : Senior Data Engineer Azure
Years of Experience : 5
Job Description : We are looking for a skilled and experienced Senior Azure Developer to join our team! As part of the team, you will be involved in the implementation of the ongoing and new initiatives for our company. If you love learning, thinking strategically, innovating, and helping others, this job is for you!
Primary Skills : ADF, Databricks
Secondary Skills : DBT, Python, Databricks, Airflow, Fivetran, Glue, Snowflake
Role Description :
- Data engineering role requires creating and managing technological infrastructure of a data platform, be in-charge / involved in architecting, building, and managing data flows / pipelines and construct data storages (noSQL, SQL), tools to work with big data (Hadoop, Kafka), and integration tools to connect sources or other databases
Role Responsibility :
Translate functional specifications and change requests into technical specificationsTranslate business requirement document, functional specification, and technical specification to related codingDevelop efficient code with unit testing and code documentationEnsuring accuracy and integrity of data and applications through analysis, coding, documenting, testing, and problem solvingSetting up the development environment and configuration of the development toolsCommunicate with all the project stakeholders on the project statusManage, monitor, and ensure the security and privacy of data to satisfy business needsContribute to the automation of modules, wherever requiredTo be proficient in written, verbal and presentation communication (English)Co-ordinating with the UAT teamRole Requirement :
Proficient in basic and advanced SQL programming concepts (Procedures, Analytical functions etc.)Good Knowledge and Understanding of Data warehouse concepts (Dimensional Modeling, change data capture, slowly changing dimensions etc.)Knowledgeable in Shell / PowerShell scriptingKnowledgeable in relational databases, nonrelational databases, data streams, and file storesKnowledgeable in performance tuning and optimizationExperience in Data Profiling and Data validationExperience in requirements gathering and documentation processes and performing unit testingUnderstanding and Implementing QA and various testing process in the projectKnowledge in any BI tools will be an added advantageSound aptitude, outstanding logical reasoning, and analytical skillsWillingness to learn and take initiativesAbility to adapt to fast-paced Agile environmentAdditional Requirement :
Demonstrated expertise as a Data Engineer, specializing in Azure cloud services.Highly skilled in Azure Data Factory, Azure Data Lake, Azure Databricks, and Azure Synapse Analytics.Create and execute efficient, scalable, and dependable data pipelines utilizing Azure Data Factory.Utilize Azure Databricks for data transformation and processing.Effectively oversee and enhance data storage solutions, emphasizing Azure Data Lake and other Azure storage services.Construct and uphold workflows for data orchestration and scheduling using Azure Data Factory or equivalent tools.Proficient in programming languages like Python, SQL, and conversant with pertinent scripting languages(ref : hirist.tech)