StatusNeo - Data Engineer - ETL

Role : Data Engineer Location : Remote / Gurgaon, Haryana (Hybrid) Full-time Experience : 4 years Primary skills : Apache Airflow, SQL Queries, Python, GCP, Big Query, ETL/DWH tools Job Description : Role Purpose : In data engineer role, you will assist on data retrieval from multiple source systems, data processing and cleansing. You will be responsible for constructing automated data pipelines and updating the serving layer for analytics and insights. Role Details : Key Responsibilities and Accountabilities : Data Pipeline ETL Development & Monitoring : - Monitor and troubleshoot operational or data issues in the data source/lake for updated version - Create and maintain optimal data pipelines and works very closely with all data engineers to build best practice pipelines - Maintain and automate delivery of all data pipelines from different sources for all the functions to measure their respective KPIs in an automated way - Monitor all schedule jobs to minimize errors to ensure 100% uptime of all reports share with different stakeholders - Streamline data pipelines using best industry practices to avoid redundancy in jobs running in analytics data warehouse - Performs ad-hoc analyses of data stored within the analytics data warehouse and writes SQL scripts, stored procedures, functions, and views - Use data to discover tasks that can be automated Human Capital Responsibilities : - Proactively identify and seek professional development opportunities to improve leadership and technical skills pertaining to the direct line of work - Apply and follow Retail's Human Capital corporate policies and relevant procedures and instructions - Role model and ensure the application policies and guarantee the implementation of all laws, regulations and cultural practices of the operating countries are followed and respected. - Practice the company values and guarantees the same is respected and followed by the department team members. Qualification, Experience & Skills : Minimum Qualifications/Education : - Bachelor's Degree in Engineering or any relevant discipline Minimum experience : - 5 years in the related function Skills : General Requirement : - A college degree or higher in Engineering and/or Science. - 7 years experience in data analytics and data pipelines. - Strong with SQL, ETL - Quick self-learner to understand the retail process and engineering mechanism. - Excellent communication and customer-facing skills with the ability to explain technical approaches and rationale of findings in easy-to-understand terms to scientists, engineering, and business developers. - Excellent team player Data Engineer Specific Requirement : - Expertise in development of ETL pipelines - Experience in DWH Concepts - Experience in GCP/AWS/Azure platform - Experience in agile software engineering cycle. (ref:hirist.tech)

Location: in, IN

Posted Date: 11/27/2024