Job Title

Mandatory Requirement• 5 years as aData Engineer, ETL development. • 3 years and above inSQL • Strong in writing complex queries, strong experience indata modelling. • 3 years inLinux command line • We can look for candidates with experience in eithershell or bash scripting. • Strong in collaborating with backendTeradata , Databricks, AWS S3, file formats like Parquet/CSV, • Strong in - AWS S3, Glue, Lambda.Roles and Responsibilities -• Design and implement data acquisition processes from internal and external sources, managing data types across the lifecycle (raw, curated, lake) for effective integration. • Develop and optimize advanced SQL queries to create semantic data layers for accurate and efficient reporting. • UseLinux command-line tools(e.g., bash scripts, cron jobs, grep, awk) to automate data processing workflows and manage pipelines. • Ensure data protection and privacy compliance (e.g., GDPR) by implementing secure data handling practices. • Maintain clear documentation of designs and workflows with tools like Confluence and Visio for stakeholder understanding. • Work with RESTful APIs and AWS services (S3, Glue, Lambda) to enable seamless data integration and automation, handling various data formats like CSV and Parquet.