Data Engineer (PYTHON, DBT, SQL)

Serigor Inc; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

A leading Data Management and Analytics company is seeking a skilled Python + SQL with DBT Developer to join their growing team. You will design, develop, and maintain data models and ETL pipelines, ensuring efficient data processes while collaborating with data engineers and analysts to deliver effective solutions.

Qualifications

• 2-6 years of experience as Data Engineer (Python, SQL).
• Hands-on experience with DBT (Data build tool) is a must.
• Excellent team player with strong communication skills.

Responsibilities

• Develop and maintain robust data transformation pipelines using Python and SQL.
• Implement data models and schemas for efficient storage and retrieval.
• Ensure compliance with data governance and security policies.

Skills

Python

SQL

DBT

Data warehousing

ETL concepts

Communication

Education

Bachelors or Master’s degree

Tools

Snowflake

Informatica

Redshift

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.