Required Skills

Data Engineer

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 14th Feb 2024

JOB DETAIL

  • Expert in pl/sql development work experience with Oracle 19 and data streaming
  • Advanced python coding experience and REST API development experience
  • Knowledge of IBM DB2 database coding is a plus.
  • They don’t want to see resumes just with cloud technology experience (like with Azure, AWS, GCS etc),as they are not using.

Sr. Data Engineer

  • The Sr. Data Engineer is responsible for designing, implementing and supporting full life-cycle data engineering projects. 
  • These projects should include large data ingestion, persistence, transformation,  
  • and retrieval. Will develop, maintain, and deploy platform or application code, stored procedures, function, triggers in development, staging and production environments. 
  • Perform fine tuning and optimization of SQL and PL/SQL code to improve query response. 
  • Debug and support production issues and assist with system integration and testing. Carry out complex DDL, DML and analytical functions to assist developers in application delivery.

Requirements:

  • Bachelor’s degree in computer science, Engineering or other equivalent degree.
  • 10+ years data engineering experience .
  • 5+ years data engineering preferred. High school diploma or GED is required. 
  • Requires 5+ years’ experience in the design, implementation and support of full life-cycle data engineering projects. 
  • Experience in event driven and cloud based architectures and working knowledge of containerization and streaming technologies. Detailed work experience on Oracle, SingleStore or IBM I DB2 database, SQL & PL/SQL, including ANSI SQL. 
  • Experience in database analysis, development and maintenance of business applications specific to oil & gas back-office operations. 
  • Expertise in various ETL tools such as SQL*Loader, Equalum, Python scripts. Familiarity with No-SQL databases and pipelines (Elasticsearch, MongoDB)

Company Information