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Data Engineer

Purple Drive

Overview:

Key Responsibilities:

  • Design, develop, and maintain ETL/ELT pipelines to collect and transform large datasets from various sources.
  • Build and optimize data architectures and data models to support analytics and reporting needs.
  • Work closely with data scientists , analysts , and business teams to ensure reliable data availability.
  • Develop and maintain data lake and data warehouse solutions.
  • Implement data quality , governance , and security best practices .
  • Monitor and troubleshoot data pipeline performance and failures.
  • Integrate APIs and third-party data sources as needed.
Required Skills & Qualifications:

  • Strong programming skills in Python , Scala , or Java .
  • Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
  • Experience with big data frameworks such as Apache Spark , Hadoop , or Kafka .
  • Proficiency in ETL tools (e.g., Apache Airflow, Talend, Informatica, AWS Glue).
  • Strong experience with cloud platforms - AWS (S3, Redshift, Glue) , Azure (Data Factory, Synapse) , or GCP (BigQuery, Dataflow) .
  • Familiarity with containerization (Docker/Kubernetes) and CI/CD pipelines .
  • Strong problem-solving and analytical skills.
Vacancy posted 3 days ago
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