About The Role
A Data Engineer with experience using AWS and Snowflake typically has a
strong background in working with large datasets and knowledge of database
design and implementation. They are responsible for designing, building, and
maintaining the data pipelines and architectures that support the
organization's data analytics and business intelligence efforts.
Responsibilities:
● Designing and implementing data pipelines using AWS technologies, such
as S3, EMR, and Redshift, to extract, transform, and load data from a variety
of sources
● Building and optimizing data models in Snowflake to support the
organization's data analysis and reporting needs
● Developing and maintaining ETL processes to ensure data integrity and
accuracy
● Collaborating with data analysts and data scientists to support the
development of machine learning and predictive modeling efforts
● Working with other members of the engineering team to ensure that data
infrastructure is scalable, reliable, and secure
Must Skills:
● Have strong technical skills, including experience with SQL, Python, and
cloud technologies
● Experience with data warehousing, big data technologies, and data
visualization tools
● Have excellent problem-solving and communication skills
● Ability to work effectively in a team environment
Timezone: 2 PM to 11 PM
