Hiring Snowflake Data Engineers

Experience-6-12 years

Location-Hyderabad

Progressive experience in data engineering, or senior engineering role.

ETL / Integration Hands-on experience with one or more ETL/ELT tools (SnapLogic strongly preferred; Informatica, Talend, MuleSoft, or Azure Data Factory also considered).

Snowflake Strong working knowledge of Snowflake: virtual warehouses, dynamic tables, time travel, data sharing, and SQL performance optimization
- Expert-level proficiency in SQL, including complex query design, performance tuning, cost optimization, and query profiling.
- Deep expertise in data warehousing and modeling concepts, including dimensional modeling, CDC (Change Data Capture), SCD Types, and data vaultstyle patterns.
- Proven experience leading the design, development, and deployment of scalable, cloud-native data pipelines(ETL/ELT) supporting enterprise analytics and reporting.
- Demonstrated ability to define data engineering standards, best practices, and reusable frameworks across teams.




- Strong knowledge of data governance, security, privacy, and compliance, including role-based access, data classification, and auditability.
- Proven experience mentoring junior engineers, conducting code/design reviews, and guiding teams toward scalable and maintainable solutions.
- Excellent problem-solving and analytical skills, with the ability to make architectural decisions under ambiguity.
- Strong communication and stakeholder management skills, with the ability to translate business requirements into technical solutions.
- Ability to own end-to-end data initiatives, work independently, and lead teams effectively in a fast-paced, Agile workplace.
- dbt Proven proficiency with dbt Core or dbt Cloud model development, Jinja macros, ref/source dependencies, incremental models, snapshots, and automated testing.

📌 Snowflake Data Engineer (Hyderabad)
🏢 Anblicks Solutions
📍 Hyderabad