Mid Level Data Engineer
Armut Teknoloji
- İstanbul
- Sürekli
- Tam zamanlı
- Design, construct, install, test and maintain highly scalable data management systems.
- Ensure systems meet business requirements and industry best practices.
- Collaborate with data scientists and other tech stakeholders for their data pipeline/flow requirements.
- Work with Product Development, Category, and Marketing teams to assist with data-related technical issues and support their data infrastructure needs.
- Provide maintenance for analytical data stores and query engines.
- Developing and maintaining modular and reusable ETL processes. This includes monitoring performance and data quality.
- Providing a functional BI platform and overseeing data access permissions within the BI platform.
- Integrate new data management technologies and software engineering tools into existing structures.
- Improve data foundational procedures, guidelines and standards.
- Bachelor’s Degree from a top school with study in Computer Science, Electrical & Electronics Engineering, Mathematics or related fields.
- Excellent command / highly proficient in spoken and written English.
- Excellent verbal and written communication skills.
- Experience with Public Cloud Providers, with an emphasis on data storage and manipulation. Experience within the AWS ecosystem (EC2, S3, EMR, Glue and Lambda) is highly preferable.
- Programming experience in Python, with an emphasis on writing modular and reusable code.
- Experience with code based scheduling and orchestration tools (Prefect, Airflow, Dagster)
- Experience with writing SQL statements that processes analytical datasets, with an emphasis on performance and readability. (Snowflake, Redshift, Trino)
- Experience in developing and managing containerized applications, understanding of Docker fundamentals and concepts, and deployment and scaling of such applications. (Docker, Kubernetes, AWS ECS, …)
- Understanding of DevOps best practices, version control, Infrastructure as Code. (Git, Terraform, AWS CDK, …)
- Experience with open-source technologies is also highly preferable. We value the innovative and collaborative nature of the open-source community, and our data tech stack is primarily built using open-source tools.
- Cloud: AWS
- Languages: Python, Scala, SQL
- Data Warehouse: Snowflake
- Data transformation: Snowflake, Spark, DBT
- Orchestrator: Prefect
- Streaming: Kafka, Flink, Debezium
- Infra as Code: AWS CDK, Terraform, Github Actions
- Version control: Git
- Competitive salary,
- An opportunity to bring impact and change the service market dynamics, in a stimulating and international environment,
- Freedom to test, fail and test again in a fast-paced environment,
- Never-ending growth opportunities supported by learning & development fund,
- Working environment where your success is not judged by a dress code or working hours,
- Extra vacation time, flexible working hours and the possibility to work from home,
- Beach days, theme nights, sports & game events and any other social activity ideas you come up with!
- Application: Send us your CV.
- Interview: Discuss your experience & expectations.
- Case Presentation : Showcase your skills.
- Final Interview: Align on mutual goals and values.
- Welcome Aboard: Join the Homerun team!
We believe in a workplace where everyone feels valued and empowered. Our diverse team, hailing from various backgrounds, is the cornerstone of our success. We're committed to creating an inclusive environment for all employees, celebrating different perspectives and fostering a culture of respect.Powered by JazzHR