Senior Data Engineer

Exadel Inc (Website)•Bulgaria, Georgia, Lithuania, Poland, Uzbekistan, GA

2d•Hybrid

About The Position

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. 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. Our client is a marketplace platform that connects people with local experiences, events, and travel options, helping them discover new and familiar activities that enrich everyday life. It also supports local businesses by strengthening customer relationships and contributing to vibrant communities. Despite operating at global scale, the culture remains fast‑moving, innovative, and impact‑driven — combining the resources of a large organization with the autonomy and ownership of a smaller one.

Requirements

Strong experience in distributed systems, data engineering, software engineering, or similar fields
Rigor and robustness in coding and design, with a thorough understanding of performance trade-offs
Strong coding skills in a language such as Python, Java and Scala
A 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
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
A clear understanding of testing methodologies, CI/CD, and other industry best practices

Nice To Haves

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

Responsibilities

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