As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.

Be a thought leader and subject matter expert on enterprise data platforms (Big Data, AWS, Snowflake, EDW, ODS, Mosaic). Demonstrated experience with data platforms: ODS, EDW, Big Data and Cloud.

Proven working expertise with Big Data Technologies Spark, PySpark, hive, and SQL. Demonstrates expertise in writing complex, highly optimized queries across large data sets • Tech Skills - Scala, Spark, GCP, Dataproc, Hadoop, Airflow, SBT, Maven, Docker, Kubernetes, pyspark, Jenkins, Bigquery.

Data Modeling: Requires knowledge of cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques.

The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.

Job Req ID: 24318 About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.

Experience with data warehousing, data lakes, and data pipelines, with experience in Snowflake, AWS, Google Big Query, Airflow preferred. + Experience with big data technologies such as Hadoop, Spark, and Hive.

O Advanced knowledge of digital transformation principles and concepts, including agile, scrum, and user experience design as well as data analytics tools such as Python, R, ACL, Power BI etc. o CompTIA Data+, Power BI Data Analyst, SAS Certified Data Scientist, Certified Analytics Professional, or other relevant professional designation or advanced degree.

Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.

Primary responsibilities will include analysis in our many data sources (Enterprise Data Warehouse, Snowflake, Informatica, MSFT Dynamics, Big Data, Google BigQuery, Adobe Experience Platform) to build recommendation and propensity models as well as working with Data Engineering to identify, clean and integrate data into destination stores.

Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Leverage big data analytics and traditional security event types to identify advanced threats or indicators of compromise.

NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law.

Job Req ID: 23250 About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.

Coordinate interdepartmental activity with quality assurance, source data acquisition, shipboard configuration status, Newport News Shipbuilding Engineering support, Government customers, and NNS suppliers as needed.

Experience with big data programming languages and technologies (i.e. Python, SQL, AWS Athena, etc.) Preferred Qualifications: Analytical with strong problem-solving and critical thinking skills; process-driven Experience with Agile and Lean methodologies Experience with operating cloud data warehouses or data lake (e.g., Snowflake, AWS) Experience with order processing flows, warehousing equipment and software, data-science, and performance analytics General understanding of supply chain planning and execution.