Data Engineer (Snowflake & DBT)

About Kenexai: Kenexai delivers smart, data-driven solutions that empower businesses across industries. Our mission is to combine deep, domain-specific expertise with cutting-edge technology to drive meaningful impact. With a trusted team, consistent quality, and a growing global presence, we remain committed to delivering excellence while staying true to our core values: innovation, integrity, and client success. Be part of a team that’s not just building solutions but shaping the future with intelligence.

Role Overview: We are seeking a talented and motivated

Data Engineer with hands-on experience in

Snowflake and DBT Core to join our growing data team. The ideal candidate will play a critical role in designing, building, and maintaining

robust, scalable, and high-performance data pipelines that support analytics, reporting, and business intelligence initiatives across the organization. This role involves working closely with data analysts, data scientists, and engineering teams to ensure data is

accurate, reliable, and readily available .

Key Responsibilities:

• Design, develop, and maintain end-to-end

ETL/ELT pipelines using

Snowflake and

DBT Core .

• Build modular, scalable, and reusable data models in DBT following best practices, including

version control, testing, and documentation .

• Work with

AWS Data Services (S3, Glue, Redshift) to ingest, transform, and store large volumes of structured and unstructured data.

• Collaborate with teams to

implement data validation and testing frameworks to ensure high-quality, trustworthy data.

• Orchestrate complex workflows and data pipelines using

Airflow / Astro , ensuring efficient scheduling and monitoring.

• Deploy and manage pipelines in

containerized environments using

Docker and

Kubernetes for scalability and reliability.

• Integrate

streaming data using

Kafka for real-time processing and analytics.

• Participate in

CI/CD pipelines using

Terraform to automate deployment, versioning, and environment management.

• Monitor and troubleshoot data pipelines to ensure

performance, reliability, and availability , proactively addressing potential issues.

• Collaborate with cross-functional teams to understand business requirements and translate them into efficient

data solutions .

• Stay updated with emerging technologies and industry best practices in

data engineering, cloud platforms, and modern data architecture .

Required Skills & Qualifications:

• 3+ years of experience in

Data Engineering with strong expertise in

Snowflake and

DBT Core .

• Proficient in

SQL and

Python for data transformation, scripting, and analysis.

• Hands-on experience with

AWS ecosystem including

S3, Glue, and Redshift .

• Ability to work effectively in a

fast-paced, collaborative environment with multiple stakeholders.