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Senior Data Engineer

Tiger Analytics Inc.
Remote, USA
Full-time
Senior
Remote
Discovered 1 months ago
Azure Data FactoryAzure SynapseAzure DatabricksADLS Gen2Delta LakePySpark

Full Job Posting

Requirements

  • Key Responsibilities:
  • Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Synapse, and Azure Databricks.
  • Architect and manage secure enterprise cloud storage, including ADLS Gen2, Delta Lake, and relational/NoSQL databases.
  • Ingest and process both high-volume batch data and real-time streaming workloads.
  • Optimize database queries, PySpark jobs, and data pipeline performance to minimize execution time and cloud costs.
  • Collaborate with BI and analytics teams to model dimensional data marts (Star/Snowflake schemas) for reporting.
  • Implement data governance, automated data quality validation, and end-to-end lineage tracking (e.g., via Microsoft Purview ).
  • Secure data pipelines and storage using Azure Role-Based Access Control (RBAC), Key Vaults, and encryption standards.
  • Automate infrastructure deployments and code releases using Azure DevOps, GitHub Actions, and CI/CD best practices

Benefits

  • Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
  • Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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