Job Location: Hyderฤbฤd
Why Work at Reputation?
- We are an innovation engine with 31 technology patents, ranked in the top three of all competitors.
- Our customer-centric focus has led to a nearly 200% revenue growth from 2016 to 2019.
- The platform is used by three of the top five automotive OEMs and 16,000 auto dealerships, more than 250 healthcare systems, and over 100 leading property management firms.
- We’ve raised over $117 million in funding from the same A-list venture capital firms that backed Google, Microsoft, and Intuit.
- Our executive management team is diverse and committed to building a performance-based culture where excellence is rewarded and careers are developed.
- Who thrives at Reputation? Managers who embody a player-coach mentality. Employees who value teamwork and cross-functional collaboration. People who emphasize perseverance and hustle over quick wins and luck.
Data Engineer
About Reputation
Reputation, Inc., based in Silicon Valley, pioneered online reputation management
(ORM) technology for the enterprise market in 2006. With its SaaS platform, Reputation technology has managed tens of millions of consumer reviews and consumer interactions across
hundreds of thousands of online points of presence for global companies spanning 77 industry verticals. Most recently, Reputation was ranked No. 1 in Enterprise Online Reputation Management in G2 Crowdโs spring 2019 report. The ranking is based on G2 Crowdโs proprietary
algorithm that calculates global rankings based on overall customer satisfaction, ease of doing business with, market presence, likelihood to be recommended and the number of reviews.
Why Work at Reputation
- Is growing revenue by 50% year over year
- Maintains a world-class executive management team
- Maintains a world-class executive management team
- Great company culture
- Has raised over $150 million in funding and is playing in an exploding market
segment.
Job Summary
Make an Impact โJoin the Growing Reputation IT Team!
We are looking for a savvy Data Engineer to join our growing team of analytics
experts. The Data Engineer will be responsible for expanding and optimizing our
data and data pipeline architecture, as well as optimizing data flow and collection
for cross-functional teams. The ideal candidate is an experienced data pipeline
builder and data wrangler who enjoys optimizing data systems and building them
from the ground up. The Data Engineer will support the Data Management/BI team
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
companyโs data architecture to support our next generation of products and data
initiatives.
Responsibilities Work cross-functionally to help shape the long-term data strategy; prioritize and execute initiatives to enable us to realize this strategy
Architect, improve and manage high-quality and reliable data pipelines across multiple sources by leveraging the latest techniques and tools to automate and optimize our existing processes, provide visibility into and monitor pipeline status, and identify opportunities to improve performance
Optimize our data infrastructure and processes to ensure scalability, reliability, quality, and security; implement and automate performant and large-scale data storage and processing systems
Build warehouses and data pipelines that efficiently deliver data sets at scale and enable teams to build, maintain, and manage machine learning models
Communicate and collaborate with technical and non-technical partner teams to align on business needs, document requirements, evaluate tradeoffs, design solutions, and execute technical data requirements
Provide technical guidance, training, and mentorship to your team and technical partner teams (e.g., Engineering, Analytics) around data best practices
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 scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources (CRM, ERP, SQL & NoSQL databases, etc.)
Qualifications
4+ years of industry experience in data engineering, data operations, data science, or data analytics
Experience with large-scale data techniques including data warehousing and modeling, building data pipelines, batch or streaming data processing leveraging Spark, Flink, Kafka, Airflow, or similar big data frameworks
Experience with programming languages including Java or Python
Experience with NoSQL or relational databases including MySql or Postgres; Familiar with at least one OLAP data-warehouses such as Snowflake; Strong in SQL for data querying and processing
Strong experience with ETL/ELT/Pipeline tools
Experience with Business Intelligence tools such as Mode, Looker, Tableau,
DOMO, etc.
Strong collaboration and communication skills with both technical and non- technical audiences
Meticulous attention to detail and strong organizational skills; must have the ability to prioritize projects based on business needs, manage multiple projects simultaneously across stakeholders, and learn quickly
Bachelor in Computer Science, Engineering, or related quantitative field
More on Reputation:
The majority of consumers โ 90% โ say online reviews influence their purchasing decisions. Yet marketing departments are at the mercy of third-party algorithms they don’t control, and no amount of marketing spend can offset the negative impact of a weak online reputation.
Our Reputation Score, much like the consumer FICO score, is an indispensable index for every business, and the accurate measure of how a company can get found, get chosen and get better. Global companies across industries such as Healthcare, Automotive, Retail Services, Property Management, Financial Services, Storage, and more use our platform to:
- Monitor, request and respond to online reviews
- Improve star ratings and search result rankings
- Audit and maintain business listings and location directories across the web
- Manage social media engagement and advertising
- Make operational changes to improve customer experience
- Maximize customer retention and revenue
Reputation is a World Economic Forum Global Growth Company funded by top-tier venture capital firms such as Kleiner Perkins, Bessemer Venture Partners, Ascension Ventures, August Capital, Heritage Group, and Icon Ventures.
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Applicants only – No 3rd party agency candidates.
Job Type: Full-time
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