Job Description: Overall 8+ years of experience as developer in Big data technologies like Databricks/Spark and Hadoop ecosystems Experience in developing Spark applications using spark-SQL in Databricks for data extraction, transformation and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into the customer usage patterns Extract, transform and load from sources system to Azure Data Storage services using a combination of Azure Data factory, T-SQL, Pyspark and U-SQL Axure Data Lake Analytics. Data ingestion to one or more Azure services (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Databricks Hands on experience on developing SQL scripts for automation Extensive hands-on experience implementing Lake house architecture using Data bricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog Good understanding of spark architecture with Databricks structured streaming, setting up Azure with Databricks, managing clusters in Databricks Excellent interpersonal, verbal, and written communication skills Bachelor s degree or equivalent work experience Responsible for estimating the cluster size, monitoring and troubleshooting of spark databrick cluster Drive analysis, architecture, design, governance and development of data warehouse, data lake, and business intelligence solutions Research, synthesize, recommend, and select technical approaches for solving difficult migration, development, and integration problems Conduct and support workshops, design sessions, and project meetings as needed, playing a key role in client relations Develop and optimize ETL processes using Databricks and related tools like Apache Spark Collaborate applications teams/Business users to develop new pipe lines with Cloud data migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc Experience working in agile development projects and sprint deliver Work in Onsite-Offshore Model Oral and written communication skills Interpersonal and consultative skills Facilitation skills Analytical thinking and problem solving Being detail-oriented and capable of delivering a high level of accuracy Organizational skills Knowledge of business structure Stakeholder analysis Requirements engineering Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company. About the Company: Diverse Linx
Job Type
Fulltime role
Skills required
Azure
Location
Chicago, Illinois
Salary
No salary information was found.
Date Posted
January 20, 2025
Diverse Linx is seeking an Azure Databricks Developer with over 8 years of experience in Big Data technologies, particularly in Databricks and Spark. The role involves developing ETL processes, managing Azure services, and collaborating with business users to optimize data solutions.