Title: BIG DATA ENGINEER- Senior/ Middle Data Software Engineer Location: San Francisco, CA - Hybrid Duration: 12 Months We can accept h1b transfer if willing to relocate on their own Interviews: (4 Rounds): Mandatory Skills: Either Java or Scala, SQL and NoSQL, Apache Spark, Cloud Platforms Data Engineer Responsibilities: • System development and maintenance activities of the team to meet service level agreements and create solutions with innovation, cost effectiveness, high quality and faster time to market. • Support code versioning, and code deployments for Data Pipelines. • Ensure test coverage for unit testing and support integration and performance testing. • Contribute ideas to help ensure that required standards and processes are in place. • Research and evaluate current and upcoming technologies and frameworks. • Build data expertise and own data quality for your areas. Minimum Qualifications: • 2+ years of Java/Scala development experience. • 2+ years of SQL and NoSQL experience (handling structured and unstructured data). • 1+ years of extensive experience with Spark Processing engine. • 1+ years of experience with Big data tools / technologies/ Streaming (Hive, Impala, OOZIE, Airflow, NIFI, Kafka) • 1+ years’ experience with Data Modeling. • Experience analyzing data to discover opportunities and address gaps. • Experience working with cloud or on-prem Big Data platform(i.e. Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar) • Nice to have but not mandatory • Programming experience in Python