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Senior Data Engineer
JOB SUMMARY
Roles
Job details
Dreamix is seeking a Senior Data Engineer to join their team.
The successful candidate will design, develop, and maintain scalable data pipelines, collaborate with data scientists and stakeholders, and ensure data integrity and quality.
Requirements
A minimum of 5 years of relevant experience in data engineeringBachelor's degree in Computer Science, Information Technology, or a related fieldHands-on experience with Databricks (including Spark, Delta Lake, and workflow orchestration)Strong proficiency in Python for scripting and data processingFamiliarity with big data technologies such as Hadoop, Spark, and KafkaExperience with cloud platforms (AWS, Azure, or Google Cloud) and their data servicesExperience in designing and implementing efficient database schemasStrong understanding of data warehousing concepts and experience with databases like SQL Server, Oracle, or PostgreSQLSolid understanding of data modeling, database design, and data warehousing conceptsExcellent problem-solving and communication skillsAbility to work independently and collaboratively in a fast-paced environment
Benefits
Flexible working hoursUnlimited home officeOpportunities for professional developmentAdditional
benefits
for academic teaching and speaking engagementsKnowledge-sharing sessionsTeam and company-wide eventsAdditional health insuranceDental allowanceMultisport cardOffice massages.
The successful candidate will design, develop, and maintain scalable data pipelines, collaborate with data scientists and stakeholders, and ensure data integrity and quality.
Requirements
A minimum of 5 years of relevant experience in data engineeringBachelor's degree in Computer Science, Information Technology, or a related fieldHands-on experience with Databricks (including Spark, Delta Lake, and workflow orchestration)Strong proficiency in Python for scripting and data processingFamiliarity with big data technologies such as Hadoop, Spark, and KafkaExperience with cloud platforms (AWS, Azure, or Google Cloud) and their data servicesExperience in designing and implementing efficient database schemasStrong understanding of data warehousing concepts and experience with databases like SQL Server, Oracle, or PostgreSQLSolid understanding of data modeling, database design, and data warehousing conceptsExcellent problem-solving and communication skillsAbility to work independently and collaboratively in a fast-paced environment
Benefits
Flexible working hoursUnlimited home officeOpportunities for professional developmentAdditional
benefits
for academic teaching and speaking engagementsKnowledge-sharing sessionsTeam and company-wide eventsAdditional health insuranceDental allowanceMultisport cardOffice massages.
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Dreamix Ltd. Bulgaria




