data engineer for travel experiences

Exadel is an AI-first global technology company with over 25 years of engineering leadership, more than 2,000 team members, and over 500 active projects for Fortune 500 clients. It helps enterprise leaders build AI platforms and deliver digital transformation.

• Design and develop high-volume batch and streaming data ingestion pipelines and frameworks across AWS and GCP data platforms;
• Conceive, code, and launch next-generation data ingestion and curation platforms;
• Participate in requirements, system architecture, and data architecture discussions;
• Technically lead and mentor junior engineers on software development and data engineering best practices;
• Collaborate with cross-functional agile teams of software engineers, data engineers, ML experts, Data Analysts, and others to build new product features.

• Strong experience in distributed systems, data engineering, software engineering, or similar fields;
• Apply rigor and robustness to coding and design, with a thorough understanding of performance trade-offs;
• Strong coding skills in Python, Java, or Scala;
• Passion for building data platforms and pursuing bold ideas through execution;
• Experience with SQL and NoSQL databases, including BigQuery, Teradata, MySQL, Postgres, or Cassandra;
• Experience with big data technologies such as Hadoop, Hive, or Apache Spark;
• Experience with Airflow or another orchestration tool;
• In-depth experience troubleshooting ETL, data lineage, data leaking, data quality issues, and backfills; ability to drive independent resolution, communication, and follow-ups;
• Experience with batch and streaming data pipelines;
• Experience in both software development and data engineering;
• Experience with GCP or AWS cloud technologies, especially data processing at scale;
• Experience 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;
• Clear understanding of testing methodologies, CI/CD, and other industry best practices;
• Upper-Intermediate English;
• Nice to have: strong Python coding skills, experience with Google Data Streams or Google Dataproc, experience with change data capture (CDC) technologies, modern data warehouse technologies such as Delta Lake.

• Medical healthcare;
• Recognition program;
• Ongoing learning and reimbursement;
• Well-being program;
• Team events and local benefits;
• Sports compensation;
• Referral bonuses;
• Top-tier equipment provision;
• International projects;
• Compensation details are shared with candidates at the early stage of the recruitment process;
• Benefits vary by location and contract type.