Senior Data Engineer at Byborg IP #vacancy #remote

Unique, exciting, fun-loving, and fast-growing – Welcome to Docler Group which is the umbrella company of Byborg Enterprises! Since launching in 2001, we have created products and experiences that entertain millions of people across the globe. We now serve more than 50 million users a day and are consistently among the top visited websites in the world with following in the millions!

Our top-ranking websites include:

  • LiveJasmin.com , a market leader in the live streaming industry
  • Jasmin.com , a platform that helps people make authentic connections
  • Oranum.com , the pioneer and largest global online esoteric space
  • TwinRed , a leading service provider in the digital advertising sector

Job Description

With Us You Will

  • Design and Development: Design, develop, and maintain scalable data warehouse solutions to support business intelligence and reporting needs.
  • ETL Implementation: Develop ETL processes to extract, transform, and load data from various sources into the data warehouse while ensuring data integrity and consistency.
  • Data Modeling: Design and implement data models, schemas, and dimensional models to support analytical reporting and ad-hoc queries.
  • Data Governance: Implement and enforce data governance policies and procedures within the data warehouse environment to ensure data quality, compliance, and security standards are upheld.
  • Documentation and Collaboration: Document data warehouse processes, data flows, and system architectures, and collaborate with cross-functional teams to drive data-driven decision-making and enhance data accessibility and usability.

Qualifications

What We Expect From You

  • Expertise in SQL: Proficiency in writing complex SQL queries for data extraction, transformation, and analysis within a data warehouse environment.
  • ETL Development: Experience in designing and implementing ETL processes such as Informatica, Talend, or custom scripting to load data from disparate sources into the data warehouse.
  • Programming: Proficiency in Python programming language for data manipulation, automation, and scripting tasks related to data processing and analysis.
  • Data Modeling: Strong understanding of data modeling concepts including dimensional modeling, star schema, and snowflake schema to design efficient and scalable data warehouse structures. Familiarity with data lake concept is advantageous.
  • Performance Tuning: Ability to optimize data warehouse performance through indexing, partitioning, and query optimization techniques to ensure fast and reliable data retrieval.

Additional Information

  • Exceptional Salary Package
  • Professional challenges
  • Working in a creative and innovative environment with amazing colleagues
  • High degree of independence, rapid professional development
  • Cafeteria (gross 500.000 Ft / year)
  • Private health insurance (Medicover)
  • AYCM sportpass

 

Byborg Enterprises is an equal employment opportunity employer. We consider individuals for employment based on their skills, abilities and experience. We thrive to attract and hire a strong, talented and diverse workforce, prohibiting discrimination based on race, color, religious or political beliefs, age, nationality, physical, mental or developmental disability, gender, sexual orientation.

DISCLAIMER : This

job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at management’s discretion.

NOTE : Byborg Enterprises SA does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency without prior approval from our Legal and Recruiting Department to be unsolicited, and such submissions will not be recognized for purposes of “ownership” of the candidate.

We are in it for the long haul so your future is safe with us.

data-modeling Performance optimization SQL Python ETL Data Engineering Data lake

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