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Senior Data Engineer

Posted about 2 months agoViewed

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πŸ’Ž Seniority level: Senior, 5 years

πŸ“ Location: Sofia, Sofia City Province, Bulgaria

πŸ” Industry: Software Development

🏒 Company: Dreamix Ltd.

πŸ—£οΈ Languages: English

⏳ Experience: 5 years

πŸͺ„ Skills: AWSPostgreSQLPythonETLHadoopKafkaOracleAzureSparkData modeling

Requirements:
  • A minimum of 5 years of relevant experience in data engineering
  • Bachelor's degree in Computer Science, Information Technology, or a related field
  • Strong proficiency in Python for scripting and data processing
  • Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
  • Experience with cloud platforms (AWS, Azure, or Google Cloud) and their data services.
  • Strong understanding of data warehousing concepts and experience with databases like SQL Server, Oracle, or PostgreSQL.
  • Solid understanding of data modeling, database design, and data warehousing concepts
  • Excellent problem-solving and communication skills
  • Ability to work independently and collaboratively in a fast-paced environment
Responsibilities:
  • Design, develop, and maintain scalable data pipelines for processing and analyzing large volumes of data
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data integrity and quality
  • Utilize your expertise in Python for scripting and coding tasks related to data processing and analysis
  • Understand and implement business rules in python for data transformation
  • Implement ETL processes to integrate data from various sources into data warehouse or data lake solutions
  • Optimize big data storage and processing
  • Troubleshoot and resolve data-related issues, ensuring the reliability and performance of our data infrastructure
  • Follow emerging trends and technologies in the data engineering space and make recommendations for continuous improvement
  • Optimize and tune data workflows for maximum efficiency and scalability.
  • Implement data security best practices to protect sensitive information and ensure compliance with data protection regulations.
  • Develop and maintain API integrations to facilitate seamless data exchange between systems and applications
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