Short Description
As a Senior Engineer, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimisation and financial reporting. Contribute as part of self-organised team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day. Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.
Qualifications
5+ years of professional experience.
• University degree in Computer Related Sciences or similar.
• 3+ years experience working in data engineering.
• Proficiency in programming languages such as Python.
• 3+ years of experience in ETL orchestration and workflow management tools like Airflow.
• Expert in Database fundamentals, SQL and distributed computing.
• 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Presto) and/or streaming technologies such as Kafka/Flink.
• Experience working with Databricks, Snowflake, PostgreSQL and/or other DBMS platforms.
• Excellent communication skills and experience working with technical and non-technical teams.
Job Responsibilities
- Obtains tasks from the project lead,prepares functional and design specifications, approves them with all stakeholders
- Ensures that assigned area/areas are delivered within required quality objectives.
- Provides estimations and contributes to project plan of assigned area.
- Analyses scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise
- Addresses area-level risks, provides and implements mitigation plan.
- Reports about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR
- Responsible for resolving crisis situations within his/her AOR.
- Suggests technical and functional improvements to add value to the product.
- Constantly improves his/her professional level.
- Collaborates with other teams.
- Is available to work 2-3 days a week in cooperation with colleagues from North America in the evenings local time.
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