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About
Location:
Sunnyvale, CA.
Duration: Long Term Contract.
Direct Client: Req.
Key Qualifications 6+ years of hands-on data modeling and data engineering experience. Strong expertise in dimensional modeling and data warehousing. Database design and development experience with relational or MPP databases such as Snowflake/Postgres/ Oracle/ Teradata/ Vertica. Experience in design and development of custom ETL pipelines using SQL and scripting languages (Python/ Shell/ Golang). Proficiency in advanced SQL, performance tuning. Hands on experience with Big-Data platforms like Spark, Dremio, Hadoop, MapReduce, Hive etc. Experience with Java, Scala, and Python. Experience with cloud computing platforms like AWS, and Google Cloud. Familiarity with version control systems, CI/CD practices, testing, and migration tools for database and software. Experience working with APIs. Experience with real time data processing using Apache Kafka or Spark Streaming is a big plus. Ability to learn and adapt to new tools and technologies. Analytical and mathematical mind, 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. Job Description:
Architect, develop, and test large scale data solutions, to provide efficient analytical and reporting capabilities across global and regional sales and finance teams. 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. Understand existing solutions, fine-tune them, and support them as needed to meet high standards of data and software quality.
Education & Experience: ā¢ BS or MS in Engineering/ Computer Science
Languages
- English
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