Senior Data Engineer

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:Key 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 relationaldatabases (Oracle, PostgreSQL), NoSQL stores, file systems, and otherstructured/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 businessstakeholders to understand data requirements and deliver high-quality solutions.Mandatory Skills Description:Required Skills & Experience:• 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 GCP data services: BigQuery, Dataproc, Dataflow, Cloud Storage.• Familiarity with data modeling, schema design, and metadata management.• Experience with workflow orchestration tools (e.g., Apache Airflow, CloudComposer).• Knowledge of data governance, security, and compliance best practices.