Data Engineer
Job Description
- Set up data infrastructure, data pipelines, integrate source system data with data lakes and data mining models into data pipelines.
- Design, build, support and optimize new and existing data models and ETL/ELT processes, including the ETL/ELT from source system to data lake and those within the data lake
- Develop and support the data pipeline to integrate data from new data sources with emerging data technologies.
- Define and manage SLA, data quality for all data sets in allocated areas of ownership
- Maintain and optimize the performance of data analytics infrastructure to ensure accurate, reliable and timely delivery of key insights for decision making
Job Requirement
- Bachelors/Masters in Computer Science Engineering or related field
- Relevant work experience as Data Engineer or related field
- Experience with Data Engineer or Data Analytics Infrastructure. 1-5 years’ experience in designing, building and operationalizing medium to large scale data integration projects with Google cloud.
- Familiarity with SQL and one or more data Lake, Data Warehouse, RDBMS technologies (e.g., MSSQL, Oracle, SAP Hana, Hive, Bigquery, Redshift, etc.)
- Able to work independently with large and multiple data sets from various business processes and systems, to support the business in achieving strategic objectives
- Strong interest in understanding and solving business problem with data
- 1-5 years of experience with python or any equivalent programming language
- AWS or Google cloud knowledge and experience is a plus.