• US Citizen

• Green Card

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 6th Aug 2022

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., Data Meer)
· 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.