Data Engineer

1 month ago


delhi, India The Ksquare Group Full time
Requirements
Bachelor's degree in computer science, information technology, or a related field.
Prior experience with data lakes and data warehouses, working knowledge with dimensional modeling is must.
Demonstrate advanced understanding in data engineering practices, Including ETL/ELT, data integrations, reusable data pipelines,
data management methods.
Advanced Pyspark, Python, Spark SQL, Dimensional models, optimization in Azure, data bricks skills required.
Ability to service various business stakeholders, internal and external partners to support data demands.
Health care experience is desired with a data-centric motive is a plus.
8+ years of experience in data engineering with Azure data bricks ecosystem.
Strong knowledge of Azure data services, including ADF, Databricks, Delta Lake, delta live tables, Power BI, and Azure SQL Server
Experience with data processing languages such as SQL, Python, Pyspark and Spark SQL
Experience with agile methodologies on Azure DevOps and continuous integration/continuous delivery (CI/CD)
Strong problem-solving and analytical skills; excellent communication and collaboration skills
Self-motivated and a self-starter with strong ability to multitask projects/tasks effectively.
Ability to work independently and collaborate effectively in a team environment.
Proven experience with cloud platforms, Microsoft Azure, Databricks environment.
Applicants must be currently authorized to work in the United States
Responsibilities
Design, develop, and implement Databricks infrastructure and applications.
Collaborate with data scientists, analysts, and stakeholders to gather requirements and understand business needs.
Develop and maintain scalable and efficient Databricks projects.
Optimize and tune Databricks to ensure high-performance data processing.
Implement security measures to ensure privacy and compliance with healthcare regulations.
Mentor and provide technical guidance to junior engineers.
Stay up-to-date with the latest Databricks trends, tools, and technologies.
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