Data Engineer
: Job Details :

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

We're 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