Job Description :

Please share your resume to abhishek at innovativeinfotech dot com

We have two role below you may let me know which role you are Interested to apply.

1)

Job title: Senior/Lead Big Data Engineer/Architect/Developer
Location: Raleigh, NC 
Duration: Long Term Contract 

Sr Data Engineer
Scala programming and Data Platform Design. 
1.Background building data platform software (more of a product development)
2.Hands-on big data tech stack and programming skills (Scala, Java)
3.Experienced big data architect/developer (breadth)

SR/Lead Data Engineer -
In depth knowledge of Big Data technologies - Spark, HDFS, Hive, Kudu, Impala
•Solid programming experience in Python, Java, Scala, or other statically typed programming language
Production experience in core Hadoop technologies including HDFS, Hive and YARN
•Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
•Having advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases including NOSQL.
•Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
•Having experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
•Build processes supporting data transformation, data structures, metadata, dependency and workload management.
•Excellent attention to detail and communication/presentation skills
•Experience in working in a highly collaborative environment with heavy emphasis on teamwork
•Experience in working in Agile scrum methodology
•Experience working through all phases of SDLC including Project Management, Business Analysis, Data Analysis, Architecture Design, Development, Testing and Implementation
•Having strong project management and organizational skills.
•Proficient in process modeling, business process flow and data flow diagrams 
•Extensive experience working in a data warehouse environment.
•Excellent understanding of data warehouse concepts, data marts, Extraction Transformation and Loading (ETL),Autosys, feed processing, batch processing and data modeling - ER diagrams, RDBMS
•Expert in SQL for data analysis, data integrity, data accuracy, data mining and data mapping across various database platforms like Oracle and SQL Server.

2)Job Title: Big Data Engineer
Location: Raleigh, NC
Duration: Long Term Contract

•Work as a business analyst as well as a data engineer and is experienced in big data technologies and also enjoys working with business users.
•Work with business stakeholders to solicit and to document user stories and other requirements for use by development team.
•Produce user stories, workflows, prototypes, designs, data maps/process maps to document the functionality and operation of all features.
•Work with testing team to identify test cases.
•They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
•Gathering and documenting user requirements for new Data Sourcing/Data validation and controls.
•Developing functional specifications
•Supporting UAT and impact analysis of results
•Tracking and coordinating resolution of issues.
•Supporting BAU changes on data validation and controls after system Go Live through business analysis and testing.
•Collaborating in preparation of testing strategy
•System implementation and testing
•Test case development (including test scenarios and test scripts)
•Communicate/Coordinate with Project Manager(s)/Delivery leads regarding configuration, releases and defects.
•Drive Project deliveries in Agile/Feature team(s), in close collaboration with partnering teams across IT, Change and Project/Program.
•Produce/participate Weekly / Daily status reports wrt. Build, Testing cycle and Defect cycle
•Reporting and maintaining project metrics.
•Assist in continuous SME build out on Data being sourced across Products/Systems and related queries or explanation.

Data Engineer
•The ideal candidate will come with hands-on experience as a Data Engineer with experience in Big Data technologies who will interact with Business users to get the requirements and translate the same into technical specs. This person will have a proven track record of delivering successful technology solutions to business clients in financial services.

Requirements
•8-12 years of experience in a Data Engineer role or in a Business Analyst role, with a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. 
•In-depth knowledge of Big Data technologies - Spark, HDFS, Hive, Kudu, Impala
•Solid programming experience in Python, Java, Scala, or other statically typed programming language
Production experience in core Hadoop technologies including HDFS, Hive and YARN
•Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
•Having advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases including NOSQL.
•Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
•Having experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
•Build processes supporting data transformation, data structures, metadata, dependency and workload management.
•Excellent attention to detail and communication/presentation skills
•Experience in working in a highly collaborative environment with heavy emphasis on teamwork
•Experience in working in Agile scrum methodology
•Experience working through all phases of SDLC including Project Management, Business Analysis, Data Analysis, Architecture Design, Development, Testing and Implementation
•Having strong project management and organizational skills.
•Proficient in process modeling, business process flow and data flow diagrams 
•Extensive experience working in a data warehouse environment.
•Excellent understanding of data warehouse concepts, data marts, Extraction Transformation and Loading (ETL),Autosys, feed processing, batch processing and data modeling - ER diagrams, RDBMS
•Expert inSQL for data analysis, data integrity, data accuracy, data mining and data mapping across various database platforms like Oracle and SQL Server
•Proficient in System IntegrationTesting (SIT), Functional Testing and User Acceptance Testing (UAT).
Good to have understanding of various financial products like Repos, Stock Loan and Borrows (SLB), Fixed Income, Credit Derivatives, Swaps, Futures, Options, and Cash Securities



Client : Investment Banking Domain

             

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