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Data Engineer

Object Computing, Inc.
USA
Full-time
Mid
Hybrid
Discovered 1 months ago
DatabricksSQL ServerSnowflakeBigQueryApache SparkGo

Full Job Posting

  • Design, build, and optimize large-scale data pipelines (Azure, AWS, GCP)
  • Develop data ingestion and storage solutions.
  • Implement scalable APIs and ensure system performance.
  • Manage big data infrastructure and cloud deployments.
  • Collaborate with developers, designers, and data scientists.
  • Work in an Agile/DevOps environment.
  • ETL data engineering (Databricks, SQL Server, Snowflake, BigQuery, Apache Spark).
  • Proficiency in Go, Java, Python, or Scala.
  • Proficiency in CI/CD pipelines and Infrastructure as Code (IaC) (Terraform, CDK, Ansible).
  • Hands-on experience with event-driven architectures (Kafka, Pulsar).
  • Strong knowledge of data warehousing, SQL/NoSQL databases, and cloud platforms.
  • Experience with distributed computing, DevOps tools, and data governance.
  • Familiarity with Delta Lake, Unity Catalog, Delta Sharing, and DLT.
  • Degree in Computer Science, Data Engineering, or a related field, or equivalent experience.
  • Experience with AI/ML-driven data solutions and real-time data processing.
  • Expertise in building scalable APIs and integrating with modern analytics tools (Power BI, Tableau, QuickSight).
  • Cloud certifications (Databricks, AWS, Azure, GCP).

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