Azure Data Integration Developer

About Lexmark:

Founded in 1991 and headquartered in Lexington, Kentucky, Lexmark is recognized as a global leader in print hardware, service, software solutions and security by many of the technology industry’s leading market analyst firms. Lexmark creates cloud-enabled imaging and IoT solutions that help customers in more than 170 countries worldwide quickly realize business outcomes. Lexmark’s digital transformation objectives accelerate business transformation, turning information into insights, data into decisions, and analytics into action. Lexmark India, located in Kolkata, is one of the research and development centers of Lexmark International Inc.

The India team works on cutting edge technologies & domains like cloud, AI/ML, Data science, IoT, Cyber security on creating innovative solutions for our customers and helping them minimize the cost and IT burden in providing a secure, reliable, and productive print and imaging environment. At our core, we are a technology company – deeply committed to building our own R&D capabilities, leveraging emerging technologies and partnerships to bring together a library of intellectual property that can add value to our customer's business. Caring for our communities and creating growth opportunities by investing in talent are woven into our culture. It’s how we care, grow, and win together.

Job Description/Responsibilities:

The candidate will work in Global IT as a Senior Azure Data Integration Developer with tools such as Azure Native tool, BigDecisions and will be responsible for collaborating with global business users and other IT teams. The candidate is expected to understand key business objectives and IT delivery capabilities to provide fully integrated solutions in cloud Platform. The candidate will take the lead in technical designs, and developing solutions, while working with another IT development in this area.

Qualification: BE/ME/MCA with 7+ Years in IT Experience.

Must Have Skills/Skill Requirement:

Good understanding on design/implement data platform solutions for Datawarehouse modernization, green-field data platforms on Cloud (Azure).
Good understanding on Design & Development of Custom Frameworks - for Structured/Unstructured data ingestion
Strong background in Business Analysis & Data Modelling
Strong understanding & familiarity with Azure Databricks/Spark.
Strong understanding & familiarity with Azure Data Factory.
Strong understanding & familiarity with Azure Data Lake.
Strong understanding & familiarity with Azure Synapse Analytics.
Strong Database knowledge
Conversant with Database Query and Unix command
Good Communication and Documentation abilities

Good to have skills/General Qualifications:

Experience in AWS Cloud on data Engineering Stacks

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