Data Engineer | ETL, SSIS  

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

1. Bachelor’s degree in Computer Science, Information Technology, Engineering, Statistics, Mathematics, Economics, Physics, or related scientific disciplines

2. With working experience of at least 5 years handling large datasets, enterprise data integration, industry implementation best practices, data migration, requirements gathering

3. With experience of using SSIS for at least 3 years

4. Strong background and experience in data integration concepts and methodologies, ETL, DBMS, SQL (SQL server, Oracle)

5. Knowledgeable of Master Data Management is an advantage

6. Knowledgeable of Data Quality Services is an advantage7. Knowledgeable of R or Python is an advantage