Senior Data Engineer (any Cloud exp.)

Project Description:

Join our Development Center and become a member of our open-minded, progressive and professional team. You will have a chance to grow your technical and soft skills, and build a thorough expertise of the industry of our client. In this role you will be working on projects for one our world famous clients, a large international investment bank.

On top of attractive salary and benefits package, Luxoft will invest into your professional training, and allow you to grow your professional career.

Responsibilities:

• Solution Design: Architect data pipelines down to the low-level elements, ensuring clarity and precision in implementation.

• Data Sourcing: Extract data from diverse repositories including relational

databases (Oracle, PostgreSQL), NoSQL stores, file systems, and other

structured/unstructured sources.

• Data Transformation: Design and implement ETL/ELT workflows to standardize and cleanse data using best practices in data engineering.

• Pipeline Development: Build scalable, fault-tolerant data pipelines that support batch and streaming use cases.

• Cloud data processing: Load transformed data into GCP destinations such as BigQuery or Cloud Storage using tools like Dataproc, Dataflow, and other GCPnative services.

• Workflow Orchestration: Design and manage workflows using orchestration tools such as Apache Airflow or Cloud Composer.

• Data Format Expertise: Work with various data formats including JSON, AVRO, Parquet, CSV, and others.

• Optimization & Monitoring: Ensure performance, reliability, and cost-efficiency of data pipelines through continuous monitoring and tuning.

• Collaboration: Work closely with data architects, analysts, and business

stakeholders to understand data requirements and deliver high-quality solutions.

Mandatory Skills Description:

• Proven experience in data engineering across hybrid environments (on-premise and cloud).

• Strong proficiency in SQL and Python or Java/Scala.

• Hands-on experience with ETL/ELT tools and frameworks.

• Deep understanding of Cloud data services (ideally GCP: BigQuery, Dataproc, Dataflow, Cloud Storage)

• Familiarity with data modeling, schema design, and metadata management.

• Experience with workflow orchestration tools (e.g., Apache Airflow, Cloud Composer).

• Knowledge of data governance, security, and compliance best practices.

Nice-to-Have Skills Description:

• GCP certification (e.g., Professional Data Engineer) is a major plus

• Experience with CI/CD for data pipelines.

• Exposure to containerization and Kubernetes.

• Familiarity with data cataloging tools / metadata management

• Experience with Big Data technologies