Data Engineer I

Job Description

Your Responsibilities

Do you want to join a team passionate about engineering data solutions to inform business decisions and transform business performance? ADM is seeking a Data Engineer, someone who thrives in an environment continuously integrating and deploying data products and analytics driving business value. The Data Engineer is a team player who sees problems as challenges to be creatively solved in collaboration with other data engineers, data scientists, and business colleagues. The ideal candidate is a driven learner who develops and sharpens skills building data pipelines, transforming raw data into useful data systems, and optimizing the data delivery architecture.
 

• Learn to design, build, refactor, and maintain data pipelines using Microsoft Azure, Databricks, SAP Datasphere, SQL, Azure Data Factory , Python, and PySpark to meet business requirements for reporting, analysis, and data science
• Participate in designing, and integrating fault tolerance and enhancements into data pipelines to improve quality and performance
• Monitor data pipelines using analytic tools to develop actionable insights into performance issues
• Perform root cause analysis and solve problems using analytical and technical skills to optimize data delivery and reduce costs
• Adhere to code standards and DataOps and MLOps best practices to accelerate and continuously improve data system performance

• 2+ years proven Data Engineering experience
• Bachelor’s degree in computer science, software engineering, information technology or equivalent combination of data engineering professional experience and education.
• Knowledge of Microsoft Azure, SQL, Databricks, SAP Datasphere, Azure Data Factory, Python, PySpark, Power BI or other cloud-based data systems
• Knowledge of Azure DevOps, GitHub, CI/CD are a plus
• Working knowledge of relational database systems
• Task management and organizational skills
• Knowledge of or demonstrated experience building cloud ETL pipelines using code or ETL platforms utilizing database connections, APIs, or file-based
• Knowledge of data manipulations and processing techniques to extract value from large, disconnected datasets
• Continuous learning to upskill data engineering techniques and business acumen

City

Bengaluru

State

Karnataka

Location Country

India