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