# Opporutnity to work in a leading team
# diversified culture
# good learning & growth opportunities
about the company
Our client is a leading oil & gas organization.
about the job
- Design, develop, and maintain robust, scalable and sustainable data products and build & optimize data pipeline and infrastructure.
- Collaborate with stakeholders to understand their data requirements and translate them into technical solutions.
- Identify and implement data quality monitoring and validation processes to ensure data integrity.
- Implement data quality frameworks and ensure data governance best practices, including data lineage, data documentation, and data security.
- Build out the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Synapse, ADF, Spark, Kafka, or similar technologies.
- Work closely with Data Analysts and Data Architect to support their data needs and enable advanced analytics and machine learning initiatives.
- Contribute to the development of the organization's data strategy, including evaluating new technologies, tools, and frameworks to enhance the data engineering ecosystem.
skills and experience required
- 4- 8 years to total IT experience preferably in field of data engineering
- 4+ years experience with Azure services including IAM, Synapse, DataLake, SQL Server, ADF etc.
- 2+ years experience in creating and deploying docker containers on Kubernetes.
- 2+ years experience in supporting development teams on Kubernetes best practices, troubleshooting, and performance optimization.
- 2+ years experience with CI/CD pipelines toll such as Jenkins and GitHub Actions
- 2+ years experience with Synapse data warehousing and data lake solutions
- Strong programming skill in Python, PySpark and SQL
- 4+ years of experience in scripting and automation using languages such as Bash, Python, or Go
- 2+ years of experience with infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation and containerization technologies (e.g., Docker, Kubernetes).
To apply online please use the apply function
(EA: 94C3609/ R1324990)
