Tech Stack
Amazon RedshiftAWSEC2ETLGoogle Cloud PlatformHadoopJavaScriptjQueryMariaDBNumpyPySparkPythonSQL
About the role
- Leverage cutting-edge technologies to enable data-driven decision making
- Actively contribute to projects that reshape data analytics for clients
- Build and maintain ETL pipelines and data integration solutions
- Work with relational and non-relational databases to prepare queries and automate processes
- Collaborate with cross-functional teams to deliver analytics and reporting solutions
Requirements
- Demonstrated expertise with a minimum of 3+ years of experience as data engineer or similar role
- Advanced SQL skills and experience with relational and non-relational databases
- Strong Python skills with hands-on experience on Panda, NumPy and other data-related libraries
- Strong exposure to write ETL
- Experience in Data collection from multiple sources and integrating based on business needs
- Core Python, PySpark, Hadoop, MariaDB, SQL - good hands-on for query preparation, Automation skillset, JavaScript & JQuery, Banking/Regulatory reporting domain knowledge would be advantage
- Familiarity with the AWS/GCP data engineering services
- Knowledge of AWS services viz., S3, Lambda,, GLUE ETL, Athena, RDS, Redshift, EC2
- Proficiency in the English language.