Sr. Azure Data Engineer

Job Description

Sr. Azure Data Engineer

Location : Princeton NJ

Long Term

Primary Skill: Azure Databricks, Python, Azure Data Factory

Skillset and Experience

Overall 12+ years in IT, with 4+ years of skills with Data Migration and Azure Cloud Data Migration and Data Warehousing related projects.

Experience in developing and maintaining modern ingestion pipeline using technologies like (Azure Data Factory, SSIS, Spark etc)

Experience with Insurance Domain

Strong experience in design and configuration of data movement and transformation (ETL) technologies such as Azure Data Factory

Hands on experience on Azure Cloud and its Native components like Azure Data bricks

Strong experience in Data storage technologies such as Azure SQL DW, Azure Data Lake

Strong experience in analytics solutions using Databricks, Azure Synapse Analytics

String experience in coding with languages like SQL, Pl/SQL

Good-to-have Azure certification

Good experience in Requirements gathering, Design & Development

Working with cross-functional teams to meet strategic goals.

Experience in high volume data environments

Critical thinking and excellent verbal and written communication skills

Strong problem solving and analytical abilities, should be able to work and delivery individually

Good knowledge of data warehousing concepts

Good communication skills

Worked in agile methodologies and waterfall execution models

Must have excellent oral and written communication with need to interact clients directly

Must be both individual contributor, good team player and self-motivated to take on challenges

Roles and Responsibilities

Provide technical and development support to client to build and maintain data pipeline

Develop data mapping documents listing business and transformational rules

Develop, unit test, deploy and maintain data pipelines

Analyze source specifications and build data mapping documents

Identify and document applicable non-functional requirements

Understand profiling results and validate data quality rules

Utilize data analysis tools to construct and manipulate datasets to support analyses

Collaborate with and support Quality Assurance (QA) in building functional scenarios and validating results

Full-time