Job Description
Responsibilities:
- Design, develop, and optimize ETL pipelines through best practices for Data Engineering
- Design, develop, and maintain optimized data-centric solutions including components for
ETL, Data Warehousing, Data Modeling, and Visualizations
- Manage a portfolio of solutions, work with multiple stake holders and communicate effectively on progress and blockers with project team and sponsors
- Adopt existing best practices or contribute to improving them
- Work on ad-hoc and urgent requests in a timely manner
- Proactive and hardworking
- Quick learner and ability to adapt to new tools and technologies quickly
Skillset / Technologies:
- Bachelor's degree or higher in technical field (e.g., Computer Science, Computer
Engineering, Data Engineering, Software Engineering)
- Expert in databases and expert level proficiency in SQL writing and scripting with tools like SQL Server Management Studio, Oracle SQL Developer, Snowflake, Redshift,
BigQuery, etc.
- Hands-on experience with some major BI tools like Tableau, Power BI, Qlik Sense, Looker,
Data Studio etc.
- Experience in business intelligence and data analytics.
- Experience with cloud platforms like AWS, GCP, and Azure.
- Practical skills in ETL design and development and hands-on experience with some major
ETL tools like Talend, SSIS, AWS Glue, GCP Data Fusion etc.
- Experience in delivering complex and high impact BI Solutions.
- Data Engineering experience in scalable environments (Data Lakes etc.) will be a plus