Job Responsibilities :

• Design, build, and maintain scalable data pipeline, data lake and data warehouse.
• Develop and maintain ETL processes to transform data from various sources into usable formats.
• Monitor data pipeline to ensure data is timeliness, accurate and accessible.
• Analyze and optimize database performance and troubleshoot any issues that arise.
• Collaborate with stakeholders including the analyst and data teams to assist with data-related technical issues and support their data needs.
• Collaborate with cloud vendors and service providers to identify and implement best practices for cloud data management.
• Develop and implement data security, data governance and privacy policies.
• Create and maintain documentation on data architecture, data flows, and data lineage.

Qualifications :

• Bachelor's degree in Computer Science, Information Systems, or related field
• Minimum of 3 years of experience in data engineering or related field
• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud
• Strong understanding of relational and non-relational databases
• Experience with ETL tools such as SSIS, Google Cloud Dataflow, or Apache Airflow
• Knowledge of big data technologies such as Hadoop, Spark, or Hive