Diacto Technologies
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Pune · Remote · 5-8 Yrs · Oct 7
1 to 50 Employees · Pune, India
Hiring: Engineering
What employees say
+ work culture is veryy good
− Nothing as of I know so far
More reviews on the company profile.
Interview experience · Data Analyst
It was smooth and relatively easy they ask fundamental SQL questions. Also if you have done any projects or internships, discussing them and showing your work is a plus. The initial part is knowing about you, your backgr
Average difficulty · Pune · 5 reports
More interview insightsJob description
Overview
Diacto Technologies is hiring a Snowflake-centric Data Engineer to build and optimize modern data pipelines on Google Cloud Platform (GCP).
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 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
Qualifications
- B.E./B.Tech in Computer Science, IT, or a related discipline
- MCS/MCA or equivalent postgraduate degree preferred
- 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
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Job application FAQ
Last updated 12 October 2026
- How do I apply for Data Engineer (Snowflake, DBT, Airflow) - Remote at Diacto Technologies?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Diacto Technologies may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer (Snowflake, DBT, Airflow) - Remote role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer (Snowflake, DBT, Airflow) - Remote remote or on-site in Pune, Maharashtra?
- This listing is marked remote with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data Engineer (Snowflake, DBT, Airflow) - Remote role at Diacto Technologies?
- This is a mid-level Data Engineer (Snowflake, DBT, Airflow) - Remote role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.