As a Data Engineer specializing in Data Mapping & ETL, you will play a crucial role in designing and implementing data solutions that ensure efficient and accurate data movement across systems. Your responsibilities will include:
- Developing and maintaining ETL processes for data extraction, transformation, and loading.
- Conducting data mapping to transform data across multiple systems and formats.
- Collaborating with data architects and other stakeholders to understand data requirements.
- Optimizing ETL processes for performance and reliability.
- Conducting data quality assessments and implementing data validation techniques.
- Documenting ETL processes and best practices for future reference.
This role will require a blend of technical expertise and analytical skills to manage complex data flows effectively.
To be successful in this role, you should meet the following requirements:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 4+ years of experience in ETL development and data mapping.
- Strong proficiency in SQL and experience with databases such as Oracle, Postgres, or SQL Server.
- Experience with ETL tools such as Apache NiFi, Talend, or AWS Glue.
- Familiarity with data warehousing concepts and dimensional modeling.
- Knowledge of data quality frameworks and data governance principles.
- Proficient in scripting languages like Python or Shell.
- Ability to work in an Agile environment and collaborate with cross-functional teams.
- Preferred : Immediate joiner or max 1 Month
