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.
- 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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