Senior Data Engineer, Data Unification

🔥 19 hours ago

🌐 Poland, Romania, +3 more countries – Remote

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⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

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Logo of Bonapolia

Bonapolia

11 - 50 employees

Founded 2018

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Bonapolia is a recruitment and talent-matching firm focused on connecting candidates with technology and engineering roles through a candidate-centric, client-partner approach. The company operates a global, largely remote job marketplace and offers career counseling, interview coordination, and relocation support (notably to Portugal) while building long-term relationships with clients to deliver hired talent efficiently. Bonapolia emphasizes scalable boutique recruitment services, training support for employees, and a streamlined application/connect process for job seekers.

📋 Description

• Design and develop high-volume batch and streaming data ingestion pipelines across AWS and GCP data platforms • Conceive, code, and launch next-generation data ingestion and curation platforms • Participate in requirements definition and system and data architecture discussions • Technically lead and mentor junior engineers on software development and data engineering lifecycle best practices • Collaborate with software engineers, data engineers, ML experts, and data analysts in cross-functional agile teams to build new product features • Ingest and curate petabytes of data into data lakes and data warehouses to empower analysts and data scientists

🎯 Requirements

• BS/MS in Computer Science • 10+ years of experience in distributed systems, data engineering, or software engineering • Strong coding skills in Python, Java, or Scala • Experience with SQL and NoSQL databases, including BigQuery, Teradata, MySQL, Postgres, and Cassandra • Experience with Hadoop, Hive, and Apache Spark • Experience with Airflow or another orchestration tool • In-depth experience with ETL, data lineage, data quality issues, and backfills • Experience with batch and streaming data pipelines • Experience with GCP or AWS cloud technologies, particularly data processing at scale • Experience designing, implementing, and supporting production services with tight SLAs • Experience with central logging, metrics, monitoring, and alerting tools, including Elasticsearch and Wavefront • Understanding of testing methodologies, CI/CD, and industry best practices

🏖️ Benefits

• Fully remote work arrangement • Opportunity to work on next-generation cloud-based data solutions • Collaboration with international, cross-functional teams • Mentorship and technical leadership opportunities • Exposure to distributed systems, big data, scalable production systems, AWS, and GCP

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