Middle Data Engineer

Posted 3 Days Ago
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Hiring Remotely in Ukrainka, Kyivs'ka oblast'
In-Office or Remote
Mid level
Software
The Role
Design and develop end-to-end big data pipelines, optimize data processing, collaborate with teams, and improve data accuracy following best practices.
Summary Generated by Built In
Company Description

Join a globally recognized company where innovation meets impact. Our team of seasoned professionals and our commitment to excellence enable us to deliver top-tier solutions that shape industries and drive meaningful results. Be part of a Сompetence Сenter where your expertise will be valued, your voice will be heard, and your career will be empowered.

CUSTOMER

It is an international technology company that specializes in developing high-load platforms for data processing and analytics. Its core product helps businesses manage large volumes of data, build models, and gain actionable insights. Operating globally, the company primarily serves clients in the marketing and advertising sectors, and focuses on modern technologies, microservices architecture, and cloud-based solutions.

Job Description

  • Design, develop, and maintain end-to-end big data pipelines that are optimized, scalable, and capable of processing large volumes of data in real-time and in batch mode 
  • Follow and promote best practices and design principles for Data Lakehouse architecture 
  • Support technological decision-making for the business’s future data management and analysis needs by doing POCs 
  • Write and automate data pipelines 
  • Assist in improving data organization and accuracy 
  • Collaborate and work with data analysts, scientists, and engineers to ensure the use of best practices in terms of data processing and storage technologies 
  • Explore and stay up to date on emerging technologies and proactively shares learnings with the team 
  • Ensure that all deliverables adhere to our world-class standards 

Qualifications

  • 3+ years of experience in big data development and database design 
  • Strong hands-on experience with SQL and experience working on advanced SQL  
  • Proficient in Python and other scripting languages 
  • Working knowledge of at least one of the big data technologies 
  • Experience developing software solutions using Hadoop Technologies such as MapReduce, Hive, Spark, Yarn/Mesos, etc. 
  • At least an Upper-Intermediate level of English 

WOULD BE A PLUS

  • Experience with AWS cloud, S3, and Redshift 
  • Knowledge and exposure to BI applications, e.g. Tableau, QlikView

Additional Information

PERSONAL PROFILE

  • Excellent analytical and problem-solving skills 

Top Skills

AWS
Hadoop
Hive
Mapreduce
Python
Qlikview
Redshift
S3
Spark
SQL
Tableau
Yarn
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The Company
New York, New York
1,516 Employees

What We Do

Sigma Software Group, an award-winning and trusted IT partner, has been serving customers for over 21 years, providing comprehensive IT solutions to various businesses, ranging from startups to established software product houses. As one of Europe's substantial IT consultancies, it brings together a dedicated workforce of over 2,100 professionals in 40 offices across 19 countries. With a diverse client base, including more than 300 enterprises, including Fortune 500 stalwarts, Sigma Software Group is a preferred choice for developing solutions that help businesses create cutting-edge products while meeting their unique needs.

Sigma Software Group operates as a dynamic ecosystem of tech companies, offering 25 ready-to-implement innovative products and 40+ value-added services. Furthermore, Sigma Software Group is committed to fostering innovation through initiatives such as the Sigma Software Labs business incubator, Sigma Software University, the SID Venture Partners VC Fund, UA Tech Network, Techosystem, the European Business Association, and other collaborative efforts.

Since 2015, Sigma Software Group has consistently earned recognition on the IAOP's prestigious World's Top 100 Outsourcing list. The company's accomplishments have also been acknowledged by prominent global media outlets such as Forbes, CNBC, The Times, and Reuters

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