Diacto Technologies

Data Engineering (Snowflake, DBT, Airflow)

Diacto Technologies

Pune•Hybrid•3-6 Yrs•Jul 3

Hybrid

Diacto Technologies is hiring a Snowflake-centric Data Engineer to build and optimize modern data pipelines on Google Cloud Platform (GCP).

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 efficient 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-efficient, scalable ELT workflows
Collaborate with cross-functional teams to enable end-to-end data delivery

B.E./B.Tech in Computer Science, IT, or a related discipline
MCS/MCA or equivalent postgraduate degree preferred
3–6 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
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
Familiarity with real-time data ingestion (Pub/Sub, Kafka)
Work with a cutting-edge tech stack and cloud-native architectures
Be part of a data-driven culture with opportunities for continuous learning
Collaborate with industry experts and build transformative data solutions
Competitive salary and benefits with a collaborative work environment in Baner, Pune

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