Data Engineer

Skills:

• Bachelor's degree / Master's Degree with high rankings from reputed colleges
• Preferably 6-8 years ETL /Data Analysis experience with a reputed firm
• Expertise in Big Data Managed Platform Environment like Databricks using Python/ PySpark/ SparkSQL
• Experience in handling large data volumes and orchestrating automated ETL/ data pipelines using CI/CD and Cloud Technologies.
• Experience of deploying ETL / data pipelines and workflows in cloud technologies and architecture such as Azure and Amazon Web Services will be valued
• Experience in Data modelling (e.g., database structure, entity relationships, UID etc.) , data profiling, data quality validation.
• Experience adopting software development best practices (e.g., modularization, testing, refactoring, etc.)
• Conduct data assessment, perform data quality checks and transform data using SQL and ETL tools
• Excellent written and verbal communication skills in English
• Self-motivated with strong sense of problem-solving, ownership and action-oriented mindset
• Able to cope with pressure and demonstrate a reasonable level of flexibility/adaptability
• Track record of strong problem-solving, requirement gathering, and leading by example
• Able to work well within teams across continents/time zones with a collaborative mindset