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Requirement id 106348
Job title Engineer
Job location in Pittsburgh, PA
Skills required SQL, MATLAB, SSIS, Pentaho Tableau Mongo DB Kafka Hive Spar
Open Date 04-May-2020
Close Date
Job type Contract
Duration 12 Months
Compensation DOE
Status requirement not found
Job interview type ---
   Email Recruiter: coolsoft
Job Description Engineer: SQL, MATLAB, SSIS, Pentaho Tableau Mongo DB Kafka Hive Spar

Candidate must be our W2 Employee.

We should submit only GC,GC - EAD, L2-EAD,H4-EAD and Citizens.

Job Description :

It is recruiting a Data Engineer for one of our clients here in the Pittsburgh area. This Data Engineer will be responsible for building and supporting systems to transform, store, and improve processes around data for our clients Research. This role will focus on our clients research data pipeline, warehouse, databases, and BI tooling. He/she will work with business analyst, data scientists, and other data engineers to facilitate ETL/ELT processes that move, clean, and store data. The engineer will also be tasked with creating data accessibility points and tooling to enable reporting insights with ease of use and maintenance in mind. The data engineer is expected to provide input to end state design and schema while enforcing best practices.

Responsibilities:

Design, build, and maintain efficient and progressive data infrastructure for our clients research across disparate research silos in San Francisco, Boston, and Pune India focusing on creating a transparent data environment.

Engage in a variety of tactical projects including but not limited to ETL, storage, visualization, reporting, web- scraping, and dashboard development

Support, document, and evolve (re-architect as needed) existing core data stores

Utilize ETL tooling to build, template, and rapidly deploy new pipelines for gathering and cleaning data

Analyze existing data stores / data marts, clean, and migrate into a centralized data lake

Work with Technology and Research leads to implement central and/or virtualized warehousing solutions

Develop APIs for accessing data, for use by business users (i.e., researchers and portfolio managers)

Configure Tableau dashboards and reports while serving as SME for end consumers of data

Identify and deploy advanced BI tooling on top of datasets including AI/ML/DL techniques and algorithms

Assist in the design and development of enterprise data standards and best practices

Use modern tooling to focus on progressive technology and expand business capabilities and time to market

Work closely with business analysts, data scientists, and technologists through full project lifecycles which will provide deep insight on research needs, business processes, and research practices.

Gather requirements and analyze solution options

Develop solutions and define and execute test plans

Define and implement operational procedures

Automate the research and review of data quality issues to ensure data accuracy and reliability

Resolve data integrity and data validation issues.

Produce ad-hoc queries and reports for non-standard requests from Data Scientists and Data Consumers.

Become SMEs on the full suite of solutions delivered by the Research Data Engineering team with an eye to identify, analyze, and interpret trends or patterns to identify new solution options, define process improvement opportunities and generate value opportunities for our business partners.

Qualifications:

6+ years of experience as a data engineer, software engineer, or similar

Strong Experience building ETL pipelines and knowledge of ETL best practices

Experience with overall data architecture and data routing design

Familiarity with data quality control tools and processes Strong communication skills and a keen attention to detail

Technical Qualifications:

Candidate is not expected to have expertise in all technical areas listed but should be highly proficient in several of these including:

SQL, R, Python, Matlab, SSI
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 106348 while calling.
 
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