Job Overview

Diacto Technologies is hiring a Snowflake-centric Data Engineer to build and optimize modern data pipelines on Google Cloud Platform (GCP). The role focuses on Snowflake, DBT, Airflow, and GitHub, with solid expertise in SQL, Python, and data modeling for scalable analytics solutions. This is a Remote job.

Qualifications
B.E./B.Tech in Computer Science, IT, or a related discipline
MCS/MCA or equivalent postgraduate degree preferred

Key Responsibilities
Design, build, and maintain data pipelines and transformation workflows on GCP and Snowflake
Develop modular data models using DBT aligned with analytics and reporting requirements
Implement workflow orchestration using Apache Airflow for reliable data movement
Write effective SQL and Python scripts for automation and performance optimization
Define and enforce data quality, lineage, and governance practices
Integrate GitHub for CI/CD and version control of data pipelines
Optimize Snowflake performance and ensure cost-productive, scalable ELT workflows




Collaborate with cross-functional teams to enable end-to-end data delivery

Experience &

Skills Required
5–10 years of experience in data engineering or cloud data development
Hands-on expertise in Snowflake (data warehouse design, tuning, ELT)
Strong proficiency in DBT, Airflow, GitHub and Sigma
Experience with GCP services such as BigQuery, Cloud Storage, or Dataflow
Advanced SQL (window functions, CTEs, performance optimization) and Python
Deep understanding of data modeling (dimensional, star schema, normalization)
Excellent problem-solving, communication, and collaboration skills

Nice to Have
Certifications in Snowflake, DBT, or Google Cloud Platform
Experience with Docker and Kubernetes for containerized data workflows or Airflow deployments
Familiarity with real-time data ingestion (Pub/Sub, Kafka)
Experience with data testing frameworks

📌 Data Engineer Snowflake, Dbt, Airflow Remote Pune (India)
🏢 Diacto Technologies
📍 India