ETL Developer

An ETL (Extract, Transform, Load) Developer designs, develops, and maintains data pipelines and data warehouses, extracting data from various sources, transforming it into a usable format, and loading it into target systems. Key responsibilities include collaborating with business teams to understand data needs, writing complex SQL queries, troubleshooting data issues, optimizing performance, ensuring data accuracy, and documenting processes to support analytics and reporting.

Core Responsibilities

Data Extraction :  Retrieving data from diverse sources like databases, applications, APIs, and files.

Data Transformation :  Converting raw data into a standardized, clean, and consistent format suitable for the target system and business analysis.

Data Loading :  Loading the transformed data into data warehouses or other target systems where it can be accessed for reporting and analytics.

Designing and Developing ETL Processes :  Building and implementing the entire ETL pipeline, including data flows, mappings, and workflows.

Data Quality and Integrity :  Ensuring the accuracy, consistency, and reliability of data throughout the ETL process.

Performance Optimization :  Tuning SQL queries, identifying and resolving performance bottlenecks, and optimizing data loading times.

Troubleshooting and Debugging :  Investigating and resolving any issues that arise within ETL processes or databases.

Documentation :  Creating comprehensive documentation for ETL designs, processes, and architectures for future reference.

Collaboration and Communication

Working with Stakeholders :  Collaborating with business analysts, data analysts, and other stakeholders to understand data requirements and business goals.

Cross-functional Teams :  Working closely with technical and business teams to translate requirements into effective data solutions.

System Maintenance and Improvement

Maintaining ETL Workflows :  Ensuring the ongoing health and performance of existing ETL jobs and processes.

Implementing New Software :  Staying updated with new technologies and incorporating them to improve ETL capabilities and data processing.

Providing Training :  Facilitating and training staff on ETL processes and best practices.