10 Talent Monitor Jobs

Responsibilities :

- Design data pipelines to curate sourced data into the Redshift data warehouse.

- Build and maintenance of data pipelines and data platforms with tools such as Airflow, AWS Glue.

- Explore ways to enhance data quality and reliability.

- Develop analytical tooling to better support BI and Advanced Data Analytics activities.

- Promote and champion data engineering standards and best-in-class methodology.

Requirements :

- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

- 1-3 years of hands-on experience in data engineering with AWS services (S3 EMR, RDS, DynamoDB, Redshift, etc. )

- Strong SQL skills.

- Strong programming skills with experience in scripting languages such as Python or Java.

- Experience in data modeling, ETL/ELT frameworks, data warehousing, and BI concepts.

- Experience in creating and managing data warehouses and databases- Snowflake, PostgreSQL, MS SQL, MySQL, Redshift, etc.

- Understanding of web protocols (HTTP, FTP) and web services (REST APIs).

- Good understanding of data analysis and data science concepts.

- Strong critical-thinking, analytical, and problem-solving skills.

- Excellent communicator with a team-oriented approach.