Required Skills

Big Data Engineer

Work Authorization

  • US Citizen

  • Green Card


  • H1B Work Permit

Preferred Employment

  • Corp-Corp

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 14th Jul 2022


  • Build and deliver projects with high impact/complexity and collaboration with cross-functional teams, both business and technology
  • Develop automated methods for ingesting large datasets into an enterprise-scale analytical system using Sqoop, Spark and Kafka
  • Build processes supporting optimal data transformation, data structures, metadata and data flow pipelines to consume data from source systems
  • Assemble large, complex data sets that meet business requirements
  • Identify technical implementation options and issues
  • Support and maintain production data workflows, perform root cause analysis and debug issues
  • Mentor consumers of the data and analytics teams
  • Provide technical coaching to other engineers and partners across the organization
  • Partner and communicate cross-functionally across the enterprise
  • Provide expertise for the specification, development, implementation and support of Analytical solutions (e.g. Datameer, Hive, Python, Redshift, Tableau)
  • Explain technical solutions and issues in non-technical, understandable terms
  • Interact with business teams to gather, interpret and understand their business needs and create design specifications
  • Foster the continuous evolution of best practices within the development team to ensure data quality, standardization and consistency
  • Continuously seek Data Lake platform and data ingestion improvement opportunities that ensure optimal use of the environment and improve stability

Required Skills:

  • 5+ years of professional experience
  • 4+ years of hands on experience with Big Data, Analytics and AWS Cloud Computing technologies
  • 4+ years of hands on experience with ETL and ELT data modeling
  • Experience with Big Data tools (e.g., Hadoop, Sqoop, Spark, Kafka, NoSQL DBs (HBase, Cassandra)) and API development and consumption
  • Proficient in query languages such as SQL, Hive
  • Experience working with traditional warehouse and correlation into Hive warehouse on Big Data technologies
  • Experience with setting data modeling standards in Hive
  • Experience with streaming stacks (e.g., NiFi, PySpark)
  • Experience with data preparation and manipulation tools (e.g., Datameer)
  • Knowledge of SOA, IaaS, and Cloud Computing technologies, particularly in the AWS environment
  • Knowledge of setting standards around data dictionary and tagging data assets within Data Lake for business consumption
  • Proficient in one or more languages (e.g., Python, Spark, Java, Groovy)
  • Experience with data visualization tools (e.g., Tableau)
  • Experience with Jenkins, GIT, and Airflow
  • Experience with continuous software integration, test and deployment
  • Experience with agile software development paradigm (e.g., Scrum, Kanban)
  • Ability to work within a dynamic programmatic environment with evolving requirements and capability goals
  • Strong customer service and communication skills
  • Ability to collaborate and share knowledge with diverse team of individuals across Technology and Business
  • Self-motivated.  Capable of working with little or no supervision.


Company Information