Data Engineering Leader for Global Projects
10 godzin temu
Company Overview
DCG is a recruitment company that understands the importance of experienced professionals in driving business success. Our management style and partnership approach enable us to deliver personalized support to our clients.
Data Engineering Leader Role
We are currently seeking an experienced Data Engineering Leader to join our team. As a key member of our global projects, you will be responsible for delivering software systems and best practices for scalable and robust solutions.
Key Responsibilities
- Work with various clients globally to engineer data platforms for scale, performance, reliability, and security.
- Integrate data sources and optimize data processing to meet the evolving needs of our clients.
- Proactively address challenges, resolve blockers, and drive effective communication across distributed teams.
- Continuously seek opportunities to enhance data systems and ensure alignment with business objectives.
- Onboard and mentor new engineers for clients and internal teams.
Requirements
- A minimum of 5 years of experience in a senior developer role, with hands-on expertise in building data processing pipelines.
- Proficiency with GCP services, especially BigQuery and BigQuery SQL, for large-scale data processing and optimization.
- Extensive experience with Apache Airflow, including DAG creation, triggers, and workflow optimization.
- Knowledge of data partitioning, batch configuration, and performance tuning for terabyte-scale processing.
- Strong Python and/or Scala proficiency, with expertise in modern data libraries and frameworks (e.g., Databricks, Snowflake, Spark, SQL).
- Experience with unit testing, pre-commit checks, and strict type enforcement for data pipelines.
- Deep understanding of relational and NoSQL databases, data modelling, and data warehousing concepts.
- English language proficiency at B2 or C1 level.
Nice to Have Skills
- Expertise in optimizing BigQuery performance using tools like Query Profiler and addressing compute resource bottlenecks.
- Prior experience developing or testing custom operators in Apache Airflow.
- Familiarity with Docker, Kubernetes, Helm, Terraform, Kafka, and CI/CD pipelines for data environments.
What We Offer
- Private medical care.
- Co-financing for the sport card.
- Training and learning opportunities.
- Constant support from dedicated consultants.
- Employee referral program.
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