• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 11th Aug 2022

Job summary:
As part of the Big Data Analytics team, using Big Data technology, you will be responsible for designing, developing, implementing and supporting data analytics solutions utilizing AWS cloud architecture.

Primary Responsibilities:
· 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.