Job purpose

We are seeking a highly skilled and Snowflake‑certified Data Engineer to independently design, build, and

Snowflake architecture, data modeling, and end‑to‑end pipeline development, along with a strong

understanding of cloud data ecosystems, API integration, and enterprise data platforms. This individual

contributor role requires a self-driven engineer capable of owning complex data engineering initiatives

end‑to‑end while ensuring performance, reliability, and alignment with business needs. - Key responsibilities

- Independently design and implement Snowflake databases, schemas, warehouses, RBAC, and workload

management.

- Configure and optimize Snowpipe, Streams, Tasks, Materialized Views, Clustering, and Time Travel. :

- Perform performance tuning and troubleshoot issues directly from the Snowflake portal. :

- Design robust dimensional and normalized data models aligned with financial domain needs. :

- Architect and implement Medallion (Bronze-Silver-Gold) data layers for scalable pipelines. :

- Ensure data quality, governance, and secure access patterns. :

- Build and manage end-to-end pipelines using : o dbt for transformations

o Python for automation

o Airflow/ADF for orchestration

- Implement and maintain CI/CD workflows, code reviews, and automated deployment processes. :

- Consume REST/SOAP APIs for data ingestion and integration. :

- Connect Snowflake with enterprise systems and datasets (Salesforce, SAP, CRM/ERP, cloud services, IDP, etc). :

- Integrate Snowflake with cloud-native services for ingestion, compute, and storage. :

- Maintain high-performance, cost-efficient cloud data operations. :

- Take complete ownership of design, development, deployment,



and support with mínimal oversight. :

- Work directly with architects, business analysts, and stakeholders to translate requirements into solutions. :

- Produce high-quality documentation, reusable components, and engineering best practices. - Key competencies

- 10-12 years of hands-on data engineering experience, including a minimum of 6 years dedicated to Snowflake. :

- Advanced expertise in Snowflake architecture, implementation, administration, optimization, and troubleshooting. :

- Experience with Snowflake Data Sharing and Snowflake Marketplace for accessing, integrating, and managing third‑party and shared datasets.**:

- Strong knowledge of data modeling and Medallion Architecture. :

- Proficiency in SQL, Python, and cloud ecosystem workflows. :

- Hands-on experience with dbt, Airflow, Azure Data Factory (ADF), or similar orchestration tools. :

- Experience integrating REST/SOAP APIs and connecting Snowflake with enterprise platforms (CRM/ERP/SaaS systems).**:

- Strong exposure to Azure or AWS cloud data services. :

- Experience working in the financial domain (preferred but not mandatory). :

- Familiarity with CI/CD, Git workflows, automated deployments, and DevOps best practices. :

- Solid problem-solving skills, with ability to independently debug and resolve platform issues using Snowflake portal/console.**:

- Excellent communication skills, self-driven attitude, and ability to work independently with mínimal supervision. :

- Snowflake Certification (e.g., SnowPro Core or Advanced Data Engineer).

Job Snapshot

- Job ID
- JOB_7827
- Department
- Data and Technology Services
- Location

ITPP-Kharadi, Pune, Maharashtra, India

- Experience
- 10 - 15 Years
- Employee Type
- Permanent

📌 Snowflake‑data Engineer - Delivery Manager (Kharadi)
🏢 Acuity Knowledge Partners
📍 Kharadi