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Data Engineer

Info about the company

Telelink Business Services enables people and organizations to adopt technology and realize their full potential in the digital world. We tap into global talent, compelling next-generation IT solutions and extensive partner relationships to help everyone to transform digitally and seize opportunities. Our comprehensive experience gives us a clear and confident vision to help organizations embrace change, to function more efficiently by enhancing collaboration, productivity, and inspiring a generation of new ideas that fuel innovation and competitiveness.

 

We are looking for a self-driven Data Engineer who is passionate about fields such as machine learning and predictive modeling but also software engineering, database management and big data concepts. As part of our innovation team, you will be the driving force in setting up and implementing our data management processes, as well as participating in multiple client engagements from a data manipulation and management perspective.

What we are looking for

Do you want to be a data explorer?  

Do you want to touch and transform data?

Do you want to be the change?

 

In your first months you will: 

  •  Get to know our amazing team and what we do
  • Get familiar with our business, approach, and dreams
  • Understand our current and past projects and “draw” with us the map of the future ones
  • Develop tooling and infrastructure that supports the team with model deployment in production systems
  • Implementing data access and transformation protocols for reliable access to unified data
  • Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud technologies
  • Further, develop our in-house infrastructure to maximize our efficiency whilst keeping data security our top priority

 

The background we are looking for:

  • Hands-on experience in the database administration, custom ETL design, implementation and maintenance
  • Background in data – ideally in engineering, computing or statistics
  • Experience with schema design, data architecture and data modeling
  • Experience in writing efficient SQL statements
  • Proven experience building scalable data services and systems
  • Ability in managing and communicating data warehouse plans to internal clients
  • Experience in Git
  • Experience in RESTful APIs
  • Experience in automating data science models and data pipelines
  • Fluent English proficiency is an absolute must
  • Dashboard design and deployment experience
  • Highly accomplished problem solving, communication, proposal writing & presentation skills along with a customer-focused approach
  • Experience within a client and/or agency analysis role in developing data-driven solutions to drive business benefit with proven returns

 

What we will be happy to see in you:

  • Understand business questions and needs and discover various data sources to fit those requirements
  • Data wrangling – integrate data sources coming from different products, restructure columns, clean bad data, standardize data fields and types, ultimately increase data quality and usability
  • Protect data integrity and accuracy. Perform root cause analysis of issues that hinder the data quality. Work with the data source owner to increase the quality and accuracy of the source data
  • Help data consumers to correctly understand and use the data

The following would also be a plus:

  • Experience in cloud systems (Azure, AWS, Google Cloud etc.)
  • Prior experience with Hadoop eco-system (Hadoop, Spark, Storm etc.)
  • Hortonworks or Cloudera Data Platform knowledge and experience
  • Track record of analytical or consultancy projects would be a huge advantage, but not a requirement
  • R/Python experience

What we offer

  • Excellent opportunities for professional development in a well-established and promising company -leader on the Bulgarian market
  • Competitive remuneration
  • Extended package of additional benefits
  • Challenging and dynamic work in a highly qualified team of professionals

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