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Diligente Technologies

Data Engineer

Diligente Technologies, San Mateo, California, United States, 94409


Title: Data Engineer(Databricks Azure) Location: San Francisco, CA(Remote) Contract Responsibilities Lead, design and implement innovative analytical solution using Tableau, SQL, and other Big Data related technologies Work with product and engineering team to understand requirements, evaluate new features and architecture to help drive decisions Build collaborative partnerships with architects, technical leads and key individuals within other functional groups Perform detailed analysis of business problems and technical environments and use this in designing quality technical solution Actively participate in code review and test solutions to ensure it meets best practice specifications Build and foster a high-performance engineering culture, mentor team members and provide team with the tools and motivation to make things happen Work with stakeholders and cross-functional teams to develop new solutions or enhance existing solution Demonstrate our xxx values of Passion for Client Service, Innovation, Expertise, Balance, Respect for All, Teamwork, and Initiative Were excited about you if you have: 8-10 years of software development and deployment experience with at least 5 years of hands-on experience with SQL, Databricks, ADF, Datastage (or other ETL tool), SSAS cubes, Cognos, Tableau, Thoughtspot and other BI tools Write SQL for processing raw data, kafka ingestions, adf pipelines, data validation and QA Knowledge working with APIs to collect or ingest data Strong Database knowledge, SQL & No-SQL preferred

Experience building data ingestion pipelines (simulating Extract, Transform, Load workload), data warehouse or database architecture Experience writing design documentation, Source to Target mapping documentation, manage confluence pages. Experience in converting business functionalities into technical jira stories Experience in analyzing huge datasets, identify trends, patterns, and outliers to extract meaningful insights Strong experience with data modeling, design patterns, building highly scalable Business Intelligence Solutions and distributed applications Knowledge of cloud platforms, for example: Experience with Azure, AWS or equivalent cloud platforms Experience with storing, joining, filtering, and analyzing data using SQL, Spark, Hive etc. Experience working with continuous integration framework, building regression-able code within data world using GitHub, Jenkins and related applications Experience with programming/scripting languages such as Scala/Java/Python/R etc. (any combination) Analytical approach to problem-solving with an ability to work at an abstract level and gain consensus; excellent interpersonal, leadership and communication Data-oriented personality. Motivated, independent, efficient and able to handle several projects; work under pressure with a solid sense for setting priorities Ability to work in a fast-paced (startup like) agile development environment Friendly, articulate, and interested in working in a fun, small team environment