• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 24th Oct 2023

      Senior Data Engineer is responsible for building and maintaining the data infrastructure that enables an organization to efficiently collect, process, store, and analyze data for informed decision-making. 

•       Their role is critical in ensuring data availability, quality, and reliability throughout the data lifecycle.

Scope and Competency Requirements:

•       Problem-Solving/Know How: (complexity of problems and education/experience & other knowledge required)

•       A bachelor’s or master’s degree in computer science, information technology, data science, or a related field with 7+ years of experience as a data engineer, with a significant portion of that experience specifically working with Azure data services.

•       Proficiency in Microsoft Azure services and tools related to data engineering, such as Azure Data Factory, Azure Databricks, Azure Analytical Service, Azure Synapse Analytics, Azure Cosmos DB, etc.

•       Strong Experience in implementing data solutions in Azure Data Lake platform

•       Experience with Data Governance tools like Azure Purview, Alation.etc are preferred.

•       Expertise in SQL, T-SQL and experience working with various database systems, including relational databases and NoSQL databases is required.

•       Experience with data modeling, schema design, and performance optimization, especially creating tabular models for Self-service analytics using Power BI.

•       Strong skills in data integration, ETL (Extract, Transform, Load) processes, and data orchestration workflows.

•       Expertise in data warehousing concepts and techniques.

•       Programming skills in languages such as Python, PySpark, Java, Scala, or PowerShell for scripting and automation.

•       Experience designing, building, and optimizing end-to-end data pipelines.

•       Proven track record of implementing data solutions that meet performance, scalability, and reliability requirements.

•       Experience with data migration, data warehousing, and data lake solutions.

•       Experience in creating data pipelines to extract the data from SAP applications is preferred.

•       The ability to analyze complex data engineering challenges and develop innovative solutions.

•       Strong troubleshooting skills to identify and resolve issues in data pipelines and systems.

•       Effective communication skills to work collaboratively with cross-functional teams, including data scientists, analysts, and business stakeholders.

•       The ability to translate technical concepts into understandable terms for non-technical team members.

•       Data accuracy and quality are paramount.

•       A Senior Azure Data Engineer should be meticulous in ensuring that data pipelines and processes maintain high data integrity.

•       As a senior role, this individual might be required to lead and mentor junior members of the data engineering team.