As an ETL (Extract, Transform, Load) Consultant, your primary responsibility is to design, develop, and implement efficient and scalable ETL processes for extracting, transforming, and loading data from various sources into a target data warehouse or system. Your role involves working closely with clients or internal stakeholders to understand their data requirements and business objectives, and then translating those requirements into effective ETL solutions.

Responsibilities:

1. Collaborate with clients or internal stakeholders to gather and analyze data requirements, understanding their business objectives, data sources, and data quality expectations.
2. Design, develop, and implement ETL processes to efficiently extract data from various sources, transform it to meet the desired format and quality standards, and load it into the target system or data warehouse.
3. Evaluate existing data models, data structures, and data integration processes to identify areas for improvement and optimization.
4. Develop and maintain documentation for ETL processes, including data mappings, transformation rules, and technical specifications.
5. Perform data profiling and data quality analysis to identify data issues, anomalies, and inconsistencies, and implement appropriate data cleansing and validation techniques.
6. Collaborate with cross-functional teams, including data architects, database administrators, and business analysts, to ensure seamless integration of ETL processes within the overall data management ecosystem.
7. Monitor and troubleshoot ETL processes to identify performance issues, bottlenecks, and data quality problems, and propose and implement solutions to address them.
8. Stay updated with the latest trends and technologies in the ETL field, and provide recommendations for process improvements and best practices.
9. Conduct training sessions or workshops to educate users or stakeholders on ETL concepts, tools, and best practices.
10. Collaborate with project managers to define project scope, timelines, and deliverables, and provide regular updates on project progress and risks.

Requirements:

1. Bachelor's degree in Computer Science, Information Systems, or a related field. Relevant certifications in ETL tools (e.g., Informatica, Talend, SSIS) are a plus.
2. Proven experience as an ETL Developer, Data Engineer, or similar role, with a strong understanding of ETL concepts, methodologies, and tools.
3. Proficiency in ETL tools and technologies, such as data integration platforms, data modeling, SQL, scripting languages (e.g., Python, Shell scripting), and database systems (e.g., Oracle, SQL Server, MySQL).
4. Familiarity with data warehousing concepts, dimensional modeling, and relational databases.
5. Strong analytical and problem-solving skills, with the ability to analyze complex data requirements and design efficient ETL solutions.
6. Excellent communication and interpersonal skills, with the ability to collaborate effectively with clients, stakeholders, and cross-functional teams.
7. Experience with cloud-based ETL platforms (e.g., AWS Glue, Azure Data Factory) and Big Data technologies (e.g., Hadoop, Spark) is a plus.
8. Knowledge of data governance, data security, and compliance regulations (e.g., GDPR, HIPAA) is desirable.
9. Ability to work independently and manage multiple projects simultaneously, while adhering to deadlines and delivering high-quality results.