Data Engineer

Posted 11 Days Ago
Hiring Remotely in Hyderabad, Telangana
Remote
Senior level
Cloud • Software • Analytics
The Role
The Data Engineer will expand and optimize data pipelines and architecture, support data initiatives, and ensure optimal data delivery for various teams. Responsibilities include creating data tools, managing data flow, and collaborating with stakeholders to address technical issues and improve data systems.
Summary Generated by Built In

Company Description

Our Client Tangoe, https://www.tangoe.com/

Zensark is their IT partner in India


Job Description

Job Title: Data Engineer

Department: Product Development

Reports to: Director, Software Engineering


Summary:

Responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. 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. Responsible for optimizing or even re-designing Tangoe’s data architecture to support our next generation of products and data initiatives.


Responsibilities:

  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater performance and scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.


Skills & Qualifications:

  • 5+ years of experience in a Data Engineer role
  • Experience with relational SQL and NoSQL databases, including Postgres, Oracle and Cassandra.
  • Experience with data pipeline and workflow management tools.
  • Experience with AWS cloud services: S3, EC2, EMR, RDS, Redshift.
  • Experience with stream-processing systems: Storm, Spark-Streaming, Amazon Kinesis, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, NodeJs.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with both structured and unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.



Education:

  • Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.


Working conditions: 

  • Remote


Tangoe reaffirms its commitment to providing equal opportunities for employment and advancement to qualified employees and applicants. Individuals will be considered for positions for which they meet the minimum qualifications and are able to perform without regard to race, color, gender, age, religion, disability, national origin, veteran status, sexual orientation, gender identity, current unemployment status, or any other basis protected by federal, state or local laws. Tangoe is an Equal Opportunity Employer -Minority/Female/Disability/Veteran/Current Unemployment Status.


Qualifications

  • Bachelor’s degree in Computer Science, Engineering or a related subject

Top Skills

Java
Node.js
Python
SQL
The Company
Hyderabad, Telangana
88 Employees
On-site Workplace
Year Founded: 2003

What We Do

One way to think of zen is this: a total state of focus that incorporates a total togetherness of body and mind. Zen is a way of being. It also is a state of mind ( https://www.urbandictionary.com) Zensark tries to bring these same principles of zen to building software Zensark is a technology services company with a footprint in the US and India. Zensark brings over a decade of experience in software development, integration, strategy development and deployment. Zensark started its journey by building healthcare related software and services. In the last 18 months, aligning to changing the business landscape and new opportunities, Zensark has forayed into solving new age business problems in fields such as Voice Analytics, Conversational AI and Video Interviews. Zensark has rich experience in product engineering consulting for startups and SMBs, taking them from idea to POC to Prototype to Product. We specialize in the early perception of business use cases and potential applications of new technology. We offer custom application development as well as production support for existing solutions. Our mission is to enhance the business growth of our customers with creative design and development, by delivering market-defining high-quality solutions that create value and competitive advantage for our clients around the world.

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