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]

Sr Data Engineer (Hadoop, ETL)

San Antonio, TX

Location Experience
San Antanio, TX, 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

We are looking for a savvy Data Engineer with Hadoop an Open source experience to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

 

Responsibilities

Build a common framework for Reconciliation on Hadoop between discreet sources and target platforms. Design a common Data Quality and Reconciliation framework leveraging Hadoop and open source technologies of Spark/Python or Java. Build API’s for integration in the existing and new data pipelines.

  • Translate complex functional and technical requirements into detailed design.
  • Developing applications running on Hadoop on Premise and few AWS Cloud capabilities.
  • Build detailed technical design, conduct analysis, development of applications and proof of concepts.
  • Hadoop development and implementation, Loading from disparate data sets.
  • The Data Engineer is also responsible for performing thorough testing and validation in order to support the accuracy of data transformations and data verification used in machine learning models.
  • Communicate progress across organizations and levels from individual contributor to senior executive. Identify and clarify issues that need action and drive appropriate decisions and actions. Communicate results clearly and in actionable form.
  • Pre-processing using Hive and Pig, Designing, building, installing, configuring and supporting Hadoop.
  • Perform analysis of vast data stores and uncover insights.
  • Being a part of a POC effort to help build new Hadoop clusters.
  • Test prototypes and oversee handover to operational teams.
  • Overseeing testing, implementation, maintenance and enhancement of the applications.
  • The Data Engineer strives to ensure proper data governance and quality across the Data and Analytics department and the business.

 

Requirements

  • Bachelor’s Degree or master’s degree in Computer Science, Mathematics, Statistics.
  • Working experience on Hadoop and Data quality, Reconciliation and working experience on Spark, Java/Python.
  • Good mathematical and problem-solving skills.
  • Good communication and team-working skills.
  • Comfortable working in a fast-paced environment.
  • Able to identify risks and mitigation.

 

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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