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Data Engineer (PYTHON, DBT, SQL)

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

Bachelor's or Master's degree, 2-6 years of experience as Data Engineer, Strong knowledge of DBT and its features, Experience with Snowflake and ETL tools.

Key responsabilities:

Develop and maintain data transformation pipelines
Implement data models and schemas

Serigor Inc Information Technology & Services SME https://www.serigor.com/

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Job description

Our client is a leading Data Management and Analytics company that helps organizations implement optimal Data Management, Analytics, and Cloud solutions to meet their business challenges. We are a trusted service consulting provider specializing in Informatica, AWS, Azure, Snowflake, GCP, focusing on Big Data, Cloud, Data Integration, Data Quality, and Data Security solutions. As an Informatica Platinum Partner, we deliver innovative solutions to drive business growth for our clients.
We are also a reseller of Informatica and various other market-leading vendors' products, consistently growing as a recognized leader in data management across industries.

Job Description:
We are seeking a skilled Python + SQL with DBT Developer to join our growing team. As a Python + SQL with DBT Developer, you will be responsible for designing, developing, and maintaining data models and transformations using DBT to create analysis-ready datasets. You will also be responsible for building and optimizing ETL pipelines using Snowflake and Python, ensuring efficient data extraction, transformation, and loading processes.
KEY ROLES AND RESPONSIBILITIES:

Develop and maintain robust data transformation pipelines using Python and SQL.
Implement data models and schemas to ensure efficient storage and retrieval of information.
Candidate should be able to perform and deliver under large and complex env.
Develop DBT models to transform data into useful, actionable information
Create Models and Identify Patterns.
Build, test, and maintain database pipeline architectures
Ensure compliance with data governance and security policies
Collaborate with data engineers, data scientists, and business analysts to understand data requirements and deliver effective solutions.

SKILLS REQUIRED:

Bachelors or Master’s degree and/or equivalent professional experience
2-6 years of experience as Data Engineer (Python, SQL).
Strong knowledge of DBT tool and its features and capabilities
Min 6 months to 1 year of hands-on experience in DBT (Data build tool) is a must.
Experience working on Data warehouses like Snowflake, redshift or equivalent.
Experience working on any ETL tools like Informatica, Matillion, etc
Hands on experience with SQL and database design
Strong understanding basic data warehouse and ETL concepts.
Should be an excellent team player, with strong communication and ownership skills.