T
Data Engineer
T
- Posted 3 days ago
- Be among the first 10 applicants
Job Description
We are looking for a Data Engineer to develop and maintain data pipelines, processing systems, and data platforms that support business and analytics needs.
Key Responsibilities
- Develop and maintain data pipelines and ETL/ELT processes.
- Design and manage data workflows and data integration solutions.
- Extract, transform, and process data from various sources.
- Develop and optimise SQL queries and data processing jobs.
- Monitor data pipelines and troubleshoot data-related issues.
- Ensure data quality, reliability, and availability.
- Collaborate with data analysts, developers, and business teams.
Requirements
- Diploma/Degree in Computer Science, Data Engineering, IT, or related field.
- Minimum 1 year of Data Engineering experience.
- Proficiency in SQL and Python.
- Experience with ETL/ELT, data pipelines, and databases.
- Familiarity with cloud platforms such as AWS, Azure, or GCP is an advantage.
- Knowledge of tools such as Spark, Airflow, Kafka, or data warehouses is a plus.
(EA Reg No: 20C0312)
Please email a copy of your detailed resume to [Confidential Information] for immediate processing.
More Info
About Company
Skills:
Power Bi, Microsoft Sql Server, Informatica, SSIS, Power Query, Azure Sql, ELT, Azure Data Factory, Spark, Microsoft Azure, Databricks, Oracle, Dax, Azure Machine Learning, Python, Etl, Azure DevOps, Scikit-learn, CI/CD, Data Lake Storage
Skills:
Pyspark, Azure Databricks, Sql, Azure DevOps, Lakehouse architecture, Microsoft Fabric
Skills:
Data Engineer, Aws, Databricks
Skills:
snowflake , Azure Data Factory (ADF), Power Bi, Azure Synapse Analytics, Machine Learning, Databricks, Natural Language Processing, Data mining, Python, Sql
Skills:
Java, C#, PostgreSQL, AWS Glue, Apache Spark, Microsoft Sql Server, Sql, ELT, Apache Airflow, Git, Typescript, Azure Data Factory, Javascript, Docker, MySQL, Rest Apis, Oracle, Python, Kubernetes, Etl, dbt