Gathi Analytics at GeoSmart India 2019

Gathi Analytics presented @ GeoSmart India 2019 on the topic Smart services for Smart Cities.Vinit Reddy, Director of Innovation presented the Smart City Platform (SEP), explaining the ease at which cities can adopt to and benefit from the platform.

#geosmartindia2019 #smartcities

CIOReview

Gathi Analytics featured in CIO Review EdTech Special Edition.

“Our ‘Unique 8,8,8 Engagement Model’ is enabling Businesses to stay ahead of the Curve. The Modern Data Platform helps take an organized approach to the enormous data distributed over disparate systems”.

Call Us Today! +1 (614) 345-8646|[email protected]

Senior Data Engineer

Kansas City, MO

Location Experience
Kansas City, MO, US 10+ years

 

Gathi Analytics is a relentlessly client focused group who builds ground-breaking data solutions for Smart Cities, Payment Services, Healthcare, Finance, and so much more. Gathi Analytics leverages proprietary frameworks and methodologies to deliver solutions faster, without compromising quality. We help our clients gain data insights they never thought possible and understand their data assets in ways they never could before. If this sounds like you, please read on.

 

About the Data Engineer Role

The Senior Data Engineer will participate as the technical lead, translating business needs into analytics/reporting requirements, and interfacing with internal team members and clients to ensure successful delivery of client applications. Provide design oversight and serve as technical escalation point for the development, implementation and support of business intelligence and analytics solution. Provide SME knowledge, technical planning expertise in the areas of business intelligence architecture, solution design and development, performance tuning/optimization, testing, implementation. This role will define work plans, organizes work for teams and drive SDLC deliverables. Will provide day to day technical direction and monitor team’s technical delivery output, reporting back to management on progress and issues, resolving problems, etc.

 

Responsibilities

  • Translate user requirements into technical specifications Participate and lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates.
  • Develop microservices, application code and configuration to deliver application.
  • Build detailed technical design, conduct analysis, development of applications and proof of concepts.
  • Lead development and ongoing maintenance and enhancement of applications running on Azure Cloud and business intelligence tools
  • Communicate progress across organizations and levels from individual contributor to senior executive. Identify and clarify the critical issues that need action and drive appropriate decisions and actions. Communicate results clearly and in actionable form.
  • Organize and lead technical work streams and develops BI & Analytics proof of concepts/prototypes.
  • Troubleshoot complex system issues and handle multiple tasks simultaneously
  • Serve as technical “go to” person for our core technologies – Hadoop, Spark, Kafka, Hive, RDBMS like MS SQL.
  • Manage requests, projects, and team, including task assignment, progress monitoring and output review of all developers.
  • Lead problem resolution tasks, document approach for support mechanisms.
  • Advise IT and business stakeholders of alternative solutions
  • Lead the effort to monitor system activity, tune performance and architect solutions to meet future demand.
  • Offer technical guidance to team members and lead design/requirements sessions.
  • Analyze system bottlenecks and propose solutions to eliminate them.
  • Articulate pros and cons of various technologies and platforms and document use cases, solutions and recommendations.

 

Requirements

  • Bachelor’s Degree in Computer Science, Mathematics, Statistics
  • 4 + years of development experience in using Spark to build applications through Java, Scala or PySpark
  • 10 + years’ hands-on experience developing optimized, complex SQL queries and writing PLSQL code across large volumes of data in both relational and multi-dimensional data sources such as Teradata, Hive, Impala, MSSQL, Oracle, Teradata
  • 10+ years of experience integrating technical processes and business outcomes – specifically: data and process analysis, data quality metrics/monitoring, data architecture, developing policies/standards & supporting processes.
  • Experience working with disparate data-sets in multiple formats like JSON, Parquet, Kafka queues, and log data and storage like blob/S3.
  • 6+ years’ experience in designing and developing BI/analytic solutions (PowerBi/Tableau or equivalent)
  • 10+ years of strong ETL experience on either Information, Ab-Initio, Informatica, Talend, DataStage, Syncsort.
  • 10+ years of experience integrating technical processes and business outcomes – specifically: data and process analysis, data quality metrics/monitoring, data architecture, developing policies/standards & supporting processes.
  • 10+ years’ experience developing and performance tuning BI/Analytics solution architecture
  • Experience in deploying and developing application using cloud technology stack (AWS/Azure) or on premise.
  • Experience in capacity planning & requirement gathering phases including estimate, develop, test and implement projects
  • Experience with version control tools like Git, SVN
  • Designing and implementing Data security and privacy controls.
  • Experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms.

 

If this role sounds like you, we invite you to apply. Our recruiting team will be in touch shortly with qualified candidates regarding next steps.

Gathi Analytics is an equal opportunity employer and provides opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity, marital status, age, genetic information, disability, veteran-status, or any other characteristic protected under applicable Federal, state, or local law.

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