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Join Exadel as a Senior Data Engineer and bring logic to life. Solve analytical challenges and build solutions that matter—with a sharp, collaborative team. Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client An international transportation technology company focused on building scalable digital solutions for modern rail operations. The organization develops internal platforms and automation tools that improve operational efficiency, support business growth, and streamline complex processes in a fast-paced environment.  What You’ll Do Design and develop high-volume batch / streaming data ingestion pipelines and frameworks spanning AWS and GCP data platforms Conceive, code, and launch the next-generation data ingestion and curation platforms Participate in defining the requirements, system, and data architectural discussions  Technically lead and mentor junior engineers for best practices in software development and data engineering lifecycle Collaborate with cross-functional agile teams of software engineers, data engineers, ML experts, Data Analysts, and others in building new product features What You Bring Bachelor's or master's degree in a relevant field, with extensive professional experience in distributed systems, data engineering, software engineering, or similar fields Rigor and robustness in coding and design, thorough understanding of performance trade-offs Passion for building data platforms, a desire to go into uncharted territory with bold new ideas, and a willingness to go the last mile on execution Strong coding skills in a language such as Python, Java and Scala Experience with SQL and NoSQL databases (BigQuery, Teradata, MySql, Postgres, Cassandra etc.) Experience in big data technologies like Hadoop, Hive, Apache Spark, etc. Experience with Airflow or any other orchestration tool. In-depth experience in dealing with, and understanding, and troubleshooting ETL, data lineage, data leaking, overall data quality issues, backfills, etc. Can drive and lead independent resolution,  communication, and follow-ups. Experience in batch and streaming data pipelines  Experience in both software development and data engineering  Experience in GCP or AWS Cloud technologies , specially related to data processing at scale. Designing, implementing, and supporting production services with tight SLAs Experience developing distributed applications with central logging, metrics, monitoring, and alerting tools such as Elasticsearch and Wavefront Excellent written and oral communication skills A clear understanding of testing methodologies, CI/CD, and other industry best practices Nice to have Strong coding skills in Python Experience in Google Data Streams, Google Dataproc Experience with change data capture(CDC) technologies Modern data warehouse technology like Delta lake is nice to have English level Upper-Intermediate Legal & Hiring Information  Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel   Exadel