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Senior Data Engineer

3 weeks, 2 days ago
Poland
Lead
Data Engineer
Software Development
Agile Apache Airflow Apache Spark AWS Cassandra CI/CD Elasticsearch GCP Hadoop Hive Java MySQL PostgreSQL Python Scala SQL Teradata
Apply Now
Exadel

Exadel

Exadel is an enterprise software development and consulting company that provides custom software solutions and digital transformation services to Fortune 500 clients worldwide.

Internet Software & Services
1K-5K
Founded 1998
View All Jobs 17

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 gathering and system and data architecture discussions.
  • Technically lead and mentor junior engineers on software development and data engineering best practices.
  • Collaborate with cross-functional agile teams, including software engineers, data engineers, ML experts, and data analysts, to build new product features.
  • Own troubleshooting and resolution of ETL, data lineage, data leakage, data quality, and backfill issues.
  • Design, implement, and support production services with tight SLAs.
  • Develop distributed applications with central logging, metrics, monitoring, and alerting.
  • Work with stakeholders to drive independent resolution, communication, and follow-up on data issues.

Requirements

  • BS or MS in Computer Science or a related field.
  • 10+ years of experience in distributed systems, data engineering, software engineering, or similar fields.
  • Strong coding skills in Python, Java, or Scala.
  • Experience with SQL and NoSQL databases such as BigQuery, Teradata, MySQL, Postgres, and Cassandra.
  • Experience with big data technologies such as Hadoop, Hive, and Apache Spark.
  • Experience with Airflow or another orchestration tool.
  • Experience with batch and streaming data pipelines.
  • Experience working in both software development and data engineering.
  • Experience with GCP or AWS cloud technologies for data processing at scale.
  • Experience developing distributed applications with logging, metrics, monitoring, and alerting tools such as Elasticsearch and Wavefront.
  • Strong understanding of testing methodologies, CI/CD, and industry best practices.
  • Excellent written and oral communication skills.
  • Upper-Intermediate English level.
  • Experience with Google Data Streams and Google Dataproc is preferred.
  • Experience with change data capture (CDC) technologies is preferred.
  • Experience with modern data warehouse technology such as Delta Lake is preferred.

Benefits

  • International projects.
  • Flexible in-office, hybrid, or remote work options.
  • Medical healthcare coverage.
  • Recognition program.
  • Ongoing learning support and reimbursement.
  • Well-being program.
  • Team events and local benefits.
  • Sports compensation.
  • Referral bonuses.
  • Top-tier equipment provided.

Interested in this position?

Apply directly on the company website

Apply Now

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