Data Engineer
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Some ghost-posting signals
- open for 489 days (90+ without a fill is a strong ghost signal)
- no salary disclosed (correlates with ghost postings)
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About the role
Job Responsibilities
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.
Core Competencies
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.
Preferred Qualifications
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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