Big Data Engineer
This role requires a seasoned engineer to design and optimize big data architectures while bridging traditional RDBMS systems with modern analytics platforms. The candidate will lead infrastructure planning for scalable data management, ensuring seamless ingestion and performance tuning of both structured and unstructured datasets.
Skills required
About this role
Job Title: Big Data Engineer
Location: Washington, DC
Duration: 6 Months
Face to Face Must (NO SKYPE) must be Locals to VA/MD/DC
• Bachelor’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.
• 5+ years experience in data technologies with 2+ years experience with Big Data platforms and analytics.
• Deep expertise in at least one RDBMS platform (e.g., Microsoft SQL Server, MySQL, Oracle, PostgreSQL, etc.). MySQL or PostgreSQL preferred.
• Knowledge/Deployment experience of traditional database architecture and its limitations with respect to the collection/ingestion of structured/unstructured data.
• Data modeling experience with conducting performance tuning, backup/recovery, and scalability/capacity planning.
• Experience planning architectures and infrastructures in support of data management processes and procedures.
• Experience designing, developing, and implementing database instances for the development and production environments.
• Experience managing servers in large-scale, geographically diverse environments.
• Experience with hosted cloud storage services such as AWS or Google Cloud Platform.
• Understanding and practical knowledge of best practices with data structures, storage and retrieval of massive datasets.
• A strong and independent view of the most cost efficient and effective way of deploying a Big Data infrastructure installation (cloud, appliance, software) - vendor costs plus running costs, including an understanding of all of the additional tools/software required to run the analytics (e.g. Tableau, R, Python, Spark, etc).
• Knowledge of Hadoop (Hbase, Impala, MongoDB, PIG, Hive, Ambari, Flume, HCatalog, Mahout, Oozie, Sqoop, Whirr, Zookeeper etc) is a plus.Proven experience with ETL (extraction from source systems/ traditional data warehouses, loading in to Hadoop environment) is a plus.
HOW WE LIKE TO WORK
o In small, super-productive teams
o With self-motivated people with an entrepreneurial mindset
o With people who express themselves, have a positive attitude and a sense of humor
Additional Information
If my requirement matches your resume, then please do reply on my email id taherm(at)usmsystems.com and contact number 703-349-4237.
