An employer is seeking an ETL (Extract, Transform, Load) Developer for a large automotive client sitting fully remote in India. This person will be designing, developing, and maintaining data warehousing solutions, focusing on the extraction, transformation, and loading of data from various sources. They ensure data integrity, quality, and consistency, often working with business analysts and stakeholders to understand data needs and translate them into efficient ETL processes. Other responsibilities include:
Data Modeling: Defining the structure and format of data required for analysis.
Data Extraction: Extracting data from various source systems.
Data Transformation: Transforming data into a format suitable for analysis and storage.
Data Loading: Loading transformed data into a data warehouse or other target system.
Data Quality Management: Ensuring the accuracy and consistency of data.
Data Pipeline Development: Creating and maintaining data pipelines for efficient data flow.
Performance Optimization: Optimizing ETL processes for efficiency and scalability.
Troubleshooting: Identifying and resolving issues that may arise during the ETL process.
Collaboration: Working with business analysts, data analysts, and other stakeholders.
Documentation: Maintaining documentation for ETL processes and data flows.
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HR@insightglobal.com. The EEOC "Know Your Rights" Poster is available
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Strong SQL Skills: Proficiency in writing and optimizing SQL queries for data extraction, transformation, and loading.
Database Knowledge: Understanding of various relational database management systems (RDBMS) and data warehousing technologies.
Programming Skills: Proficiency in one or more programming languages commonly used for ETL development, such as Python or Java.
Data Modeling Skills: Understanding of data modeling principles and techniques for designing data warehouses.
ETL Tool Experience: Familiarity with various ETL tools and platforms, such as GBQ dataform, DAG, airflow, composer
Problem-solving and Analytical Skills: Ability to identify, analyze, and resolve issues related to data extraction, transformation, and loading.
Communication and Collaboration Skills: Ability to effectively communicate with stakeholders and collaborate on data integration projects.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.