.ntake with Manager/Must Skills:
Need senior/experienced folks with:
1. Strong Data Engineering skill set and experience - both on-prem and cloud with a focus on Microsoft technologies
2. Able to performance tune queries and pipelines
3. Able to troubleshoot / analyze data pipelines and propose short term and long term solutions to lead engineer and data engineering manager
Core Responsibilities:
Develop and automate solutions to consume data from multiple data sources including external API
Programming and modifying code in languages like Java, Json, and Python to support and implement Data Warehouse solutions
Design and deploy enterprise-scale cloud infrastructure solutions
Research, analyze, recommend and select technical approaches for solving difficult and meaningful development and integration problems
Work closely with the Data and Engineering teams to design best in class Azure implementations
Participate in efforts to develop and execute testing, training, and documentation across applications
Design, develop and deliver customized ETL and Database solutions
Other duties as assigned.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com.
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6-8+ years of relevant working experience with Azure
5+ years of experience working with SQL
3+ years Hands-on experience with cloud orchestration and automation tools, CI/CD pipeline creation
3+ Experience in provisioning, configuring, and developing solutions in Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, Azure Synapse and Cosmos DB
Hands-on experience working with PaaS/ IaaS/ SaaS products and solutions
Hands-on experience with Python, Javascript or PySpark
Understanding of Distributed Data Processing of big data batch or streaming pipelines
A desire to work within a fast-paced, collaborative, and team-based support environment
Ability to work independently as well as function as part of a team
Willingness to identify and implement process improvements, and best practices as well as ability to take ownership
Familiarity with healthcare data and healthcare insurance feeds is a plus
Excellent oral and written communication skills
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.