Overview
Hybrid
Depends on Experience
Contract - W2
Skills
Amazon Redshift
Apache Hive
Apache NiFi
Apache Kafka
Amazon Web Services
Data Modeling
Data Quality
Java
Scala
Big Data
Cloud Computing
Bigdata
Job Details
Title: Senior Big Data Engineer
Location: San Francisco, CA - Hybrid
Duration: 12 Months
Contract Type: Only W2
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:
- Strong experience on Java/Scala development experience.
- Strong experience on SQL and NoSQL experience (handling structured and unstructured data).
- Extensive experience with Spark Processing engine.
- Experience with Big data tools / technologies/ Streaming (Hive, Impala, OOZIE, Airflow, NIFI, Kafka)
- 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)
- Programming experience in Python - Nice to have but not mandatory.
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