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AWS Data Engineer with Snowflake

Remote: 
Full Remote
Contract: 
Fixed term
Work from: 
India

Offer summary

Qualifications:

Strong background in AWS and Snowflake technologies., Experience with SQL, Python, and cloud technologies., Knowledge of data warehousing and big data technologies., Excellent problem-solving and communication skills..

Key responsibilities:

  • Designing and implementing data pipelines using AWS technologies.
  • Building and optimizing data models in Snowflake for analysis and reporting.
  • Developing and maintaining ETL processes for data integrity.
  • Collaborating with data analysts and scientists for machine learning efforts.

CodersBrain logo
CodersBrain SME https://www.codersbrain.com/
201 - 500 Employees
See all jobs

Job description

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

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Snowflake (Data Warehouse)AWS Cloud ServicesSQL (Programming Language)Python (Programming Language)Big Data AnalyticsData Warehouse ArchitecturesData VisualizationMachine LearningPredictive Modeling

Other Skills

  • Teamwork
  • Communication
  • Problem Solving
Are you interested?

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