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Job Description
Structured overview of role & requirementsAbout This Role
Design, implement, deploy, and maintain data marts and ETL processes ensuring reliability, scalability, and performance.
Develop and maintain quality indicators with effective monitoring and alerting for data assets.
Troubleshoot and document data issues following company standards and apply continuous improvements to systems and processes.
Minimum Requirements
8+ years of overall experience with proven track record in data engineering domain.
Strong experience in defining ETL processes and working with Big Data technologies (Apache Spark, Sqoop, Hadoop, Hive, Kafka).
Proficiency in Python or Scala programming languages and hands-on experience with cloud platforms Azure / GCP / AWS, preferably Azure and Databricks.
University degree in computer science or related field or relevant experience.
Ideal Candidate Profile
Experienced in designing and maintaining applications using Scala, (Py)Spark, Hadoop ecosystem, Kafka, and Impala within Agile frameworks (Scrum, Kanban, SAFe).
Skilled in data modeling, data visualization concepts, and tools, with practical knowledge of software design and DevOps tools like Azure DevOps, Git/GitHub, Bitbucket.
Operates effectively in a multicultural global environment with strong English communication and collaborative problem-solving abilities.