Data Engineer: Python/SQL/Scala

    • Match Point Solutions
  • Missouri Township, MO
  • Posted 10 hours ago | Updated 10 hours ago

Overview

Remote
On Site
Full Time

Skills

Innovation
IDEA
Industry-specific
Design documentation
Optimization
Collaboration
Operations
Finance
Merchandising
Sales
Data engineering
Productivity
Data quality
Software development
Big data
Apache Hadoop
Apache Hive
Apache Spark
Apache Flink
Apache Kafka
Data
Relational databases
SQL
Scala
Python
Design
Data Science
Research
IMPACT
Genetics
Policies
Recruiting
Promotions
Training

Job Details

Job Description

Job Description

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!

Job Title:Data Engineer

Location:Remote

Duration: 12 months

Rate: :$55 - $60/hr on W2

Skills and Responsibilities:

  • Responsibilities:

  • Design, document, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds.
  • Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization. Ensure data quality, consistency, and accuracy.
  • Build scalable data pipelines (SparkSQL, Scala & Python) leveraging Airflow scheduler/executor framework
  • Collaborate with cross-functional teams, including Data Scientists, Product Managers,
  • Operations, Finance & fellow Software Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements.
  • Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards to improve culture and productivity
  • Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues
  • Qualifications:

  • 5+ years of relevant software development industry experience
  • Experience with Big Data technologies (Hadoop, Hive Spark, Presto, Flink, Kafka).
  • Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions.
  • Experience in designing and deploying high performance systems with reliable monitoring and logging practices.
  • Working knowledge of relational databases and query authoring (SQL, Scala, Python).
  • Experience or desire to work collaboratively in cross-functional teams with design, product, data science, and research partners.
  • Ability to effectively communicate with non-technical stakeholders.
  • Expertise in architecting and developing solutions to ambiguous problems, and integrations across multiple teams with significant impact.
  • Bachelor's degree or equivalent practical experience.
  • [Bonus] Experience with leveraging LLMs

MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.