Data Engineer

Job Title: Data Engineer . Location: Sunnyvale, CA. Direct Client: Req. Key Qualifications: Data Engineer (TERMINUS) 3+ years of hands-on Data Warehousing and Data Engineering experience. Database design and development experience with Relational or MPP databases such as Snowflake/Postgres/ Oracle/Teradata/ Vertica. Proficiency in Advanced SQL , performance tuning. Experience in design and development of custom ETL pipelines using SQL and scripting languages ( Python/ Shell/Golang). Familiarity with version control systems, CI/CD practices , testing, and migration tools for database and software. Experience in Dimensional Modeling (DM) is a big plus. Ability to learn and adapt to new tools and technologies. Should possess analytical and mathematical mindset, capable of evaluating and solving various complex problems. Ability to work individually or as part of a team. Ability to learn quickly in a fast-paced environment. Excellent oral and written communication skills. Bonus Qualifications: Experience working with APIs . Experience with cloud computing platforms like AWS, Google Cloud . Hands on experience with Big-Data platforms like Spark, Dremio, Hadoop, MapReduce, Hive etc. Description: You will architect, develop, and test large scale data solutions, to provide efficient analytical and reporting capabilities across global and regional sales and finance teams. You will develop highly scalable data pipelines to load data from various source systems, use Apache Airflow to orchestrate, schedule and monitor the workflows. Build generic and reusable solutions that can scale and utilize various technologies and frameworks to solve complex business requirements. You will be required to understand existing solutions, fine-tune them, and support them as needed. Data quality is our goal, and we expect you to meet our high standards on data and software quality. We are a rapidly growing team with plenty of interesting technical and business challenges to solve. We seek a self-starter, who is willing to learn fast, adapt well to changing requirements and work with cross functional teams. Education & Experience: BS or MS in Engineering / Computer Science. Numeric