Staff Software Engineer, DATA

Keystone AI is hiring Staff Software Engineer, DATA job (Remote only) | Cutshort

Staff Software Engineer, DATA
Staff Software Engineer, DATA

at Keystone AI

Posted by
Romesh Rawat
9
\- 15 yrs
Best in industry
Remote only
Skills
PySpark
Data engineering
Big Data
Hadoop
Spark
Apache Spark
PL/SQL
About Us:
Keystone AI is a Predictive Intelligence Engine that is reimagining how B2B companies do
sales and marketing. It works with big data at scale, advanced machine learning and
predictive modelling to find buyers and predict what they will purchase, when and
how much.
Keystone AI helps B2B marketing and sales organizations fully understand the complex ABM
buyer journey. By combining intent signals from every channel with the industry’s most
advanced AI predictive capabilities, it is finally possible to predict account demand and
optimize demand generation in an ABM world. Equipped with the power of AI and the
Keystone AI Demand PlatformTM, marketing and sales professionals can uncover, prioritize,
and engage buyers to drive more revenue.
Keystone AI is seeking a Staff Software Engineer and data to become part of a team
designing, developing, and deploying its customer-centric applications.
We’ve more than doubled our revenue in the past five years and completed our Series
E funding of $200M last year, giving us a stable foundation for growth.
Responsibilities:
1\. Own critical datasets and data pipelines for product & business, and work
towards direct business goals of increased data coverage, data match rates, data
quality, data freshness
2\. Create more value from various datasets with creative solutions, and unlocking
more value from existing data, and help build data moat for the company3. Design, develop, test, deploy and maintain optimal data pipelines, and assemble
large, complex data sets that meet functional and non-functional business
requirements
4\. Improving our current data pipelines i.e. improve their performance, SLAs,
remove redundancies, and figure out a way to test before v/s after roll out
5\. Identify, design, and implement process improvements in data flow across
multiple stages and via collaboration with multiple cross functional teams eg.
automating manual processes, optimising data delivery, hand-off processes etc.
6\. Work with cross function stakeholders including the Product, Data Analytics ,
Customer Support teams for their enablement for data access and related goals
7\. Build for security, privacy, scalability, reliability and compliance
8\. Mentor and coach other team members on scalable and extensible solutions
design, and best coding standards
9\. Help build a team and cultivate innovation by driving cross-collaboration and
execution of projects across multiple teams
Requirements:
 8-10+ years of overall work experience as a Data Engineer
 Excellent analytical and problem-solving skills
 Strong experience with Big Data technologies like Apache Spark. Experience with
Hadoop, Hive, Presto would-be a plus
 Strong experience in writing complex, optimized SQL queries across large data
sets. Experience with optimizing queries and underlying storage
 Experience with Python/ Scala
 Experience with Apache Airflow or other orchestration tools
 Experience with writing Hive / Presto UDFs in Java
 Experience working on AWS cloud platform and services.
 Experience with Key Value stores or NoSQL databases would be a plus.
 Comfortable with Unix / Linux command line
Interpersonal Skills:
 You can work independently as well as part of a team.
 You take ownership of projects and drive them to conclusion.
 You’re a good communicator and are capable of not just doing the work, but also
teaching others and explaining the “why” behind complicated technical
decisions.
 You aren’t afraid to roll up your sleeves: This role will evolve over time, and we’ll
want you to evolve with it
Read more
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Companies hiring on Cutshort

Founded
:
2013
Type
:
Product
Size
:
1000-5000
Stage
:
Raised funding
About
Keystone AI reinvents the way organizations create, manage, and convert pipeline to revenue. The Keystone AI Revenue AI platform captures anonymous buying signals, predicts the right accounts to target at the ideal time, and recommends the channels and messages to boost revenue performance. Removing guesswork, friction and wasted sales effort, Keystone AI empowers sales, marketing, and customer success teams to significantly improve pipeline quality, accelerate sales velocity, increase conversion rates, and grow revenue predictably. Keystone AI has been recognized for its market-defining technology by Forbes Cloud 100, G2, TrustRadius, Gartner, and Forrester, and for its strong culture by Glassdoor, Inc. Magazine, and Comparably.
Read more
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