Data Engineer
On-siteYerevan, Yerevan, Armenia
Job Summary
Design, develop, and maintain scalable data pipelines for collecting, processing, transforming, and storing large volumes of data. Build, manage, and optimize modern data storage solutions, including data lakes and data warehouses. Collaborate with cross-functional teams to define and implement data governance, security, and compliance practices. Partner with analysts and scientists to optimize architecture for reporting, analytics, and machine learning workloads. Monitor infrastructure, identify performance issues, and ensure data quality through validation and control mechanisms. Conduct code reviews, mentor junior engineers, and communicate with stakeholders to deliver effective solutions. Stay current with emerging technologies and best practices.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field
- At least 3 years of hands-on experience in data engineering or a related technical role
- Strong expertise in SQL, database design, and data modeling
- Proficiency in at least one programming language, such as Python, Java, or Scala
- Strong knowledge of ETL and ELT processes, tools, and best practices
- Experience working with relational and NoSQL databases
- Experience with Linux-based environments and Bash scripting
- Hands-on experience with data warehouse technologies such as Snowflake, Amazon Redshift, or Google BigQuery
- Knowledge of Big Data technologies, including Hadoop and Apache Spark
- Experience with data streaming technologies such as Apache Kafka and Spark Streaming
- Experience with workflow orchestration tools such as Apache Airflow, AWS Glue, or similar platforms
- Practical experience with cloud-based data platforms, including AWS, Microsoft Azure, or Google Cloud Platform
- Experience implementing CI/CD pipelines for data workflows
- Familiarity with version control systems, particularly Git
- Knowledge of data security, privacy, and regulatory compliance standards, including GDPR and HIPAA
- Exposure to data cataloging, metadata management, and data lineage tools such as Apache Atlas or Amundsen
- Strong analytical and problem-solving skills
- Excellent communication and collaboration abilities
- High attention to detail and the ability to perform effectively in a fast-paced environment
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