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Data Engineer
Job Location:
Hourly Salary:
Experience Required:
Posted:
25 August 2026 (3 days ago)
Posted:
Application Deadline:
22 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Responsibilities:
- Design develop and maintain scalable ETL pipelines to process and transform large-scale datasets.
- Integrate structured and unstructured data from multiple sources ensuring quality security and consistency.
- Collaborate with data scientists analysts and software engineers to deliver well-structured and accessible datasets.
- Build and optimize data infrastructure using big data technologies such as Apache Spark Hadoop and Kafka.
- Deploy and manage cloud-based data solutions on AWS GCP or Azure.
- Monitor and troubleshoot data pipeline performance ensuring reliability and efficiency.
- Implement data governance security and compliance best practices.
- Drive automation testing strategies and continuous improvements in data engineering workflows.
Qualifications:
- 5 years of related experience with a Bachelors degree or equivalent work experience.
- Advanced proficiency in SQL and experience with relational and NoSQL databases (PostgreSQL MySQL MongoDB etc.).
- Strong programming skills in Python Java or Scala for data processing and automation.
- Deep expertise in ETL processes data modeling and data warehousing.
- Hands-on experience with big data frameworks such as Apache Spark Hadoop or Kafka.
- Proficiency in cloud platforms (AWS Redshift Google BigQuery Azure Synapse) and data infrastructure automation.
- Experience optimizing data pipeline performance and scalability.
- Strong problem-solving skills with the ability to work on complex large-scale datasets.
- Knowledge of data governance security and compliance best practices.
- Excellent leadership collaboration and communication skills to work effectively across teams.
Required Skills:
PySpark Python T-SQL ETL/ELT and modern data engineering practices. Experience with medallion/layered data architecture at enterprise scale. Experience with DevOps CI/CD Azure DevOps/GitHub and infrastructure-as-code.
