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Chief Data Architect

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Job Title: Data Engineer

We are seeking a highly skilled and motivated data engineer to design, develop, and maintain scalable data pipelines that process and transform large volumes of structured and unstructured data.

The ideal candidate will have a strong background in data engineering, cloud technologies, and data architecture, and will collaborate closely with data scientists, analysts, and business teams to deliver high-quality data solutions.

  • Design and implement scalable data pipelines for processing structured and unstructured data.
  • Build and maintain ETL/ELT workflows for data ingestion from diverse sources including APIs, databases, files, and cloud platforms.
  • Ensure data quality, integrity, and governance across all data pipelines.
  • Collaborate with cross-functional teams to understand and fulfill data requirements.
  • Optimize data workflows for performance and reliability.
Required Skills:

Programming & Data Engineering:

  • Python, PySpark, SQL
  • CI/CD practices

Streaming & Orchestration:

  • Kafka
  • GCP Composer / Apache Airflow

Cloud Tools:

  • Google Cloud Platform (Dataproc, BigQuery, Looker)

Data Architecture:

  • Data Warehousing
  • Data Modeling

Key Responsibilities Include:

Developing, maintaining, and optimizing complex data pipelines and systems to meet the needs of our organization and stakeholders.

Working collaboratively with cross-functional teams to identify and prioritize data-related projects and initiatives.

Designing and implementing scalable data architectures that ensure data quality, integrity, and governance.