Delivery Manager-Snowflake Data Engineer

Acuity-Knowledge-Partners; Gurugram District; Presencial; INR 4 000 000 - 7 000 000; Tempo integral

Resumo da oferta

Acuity-Knowledge-Partners is seeking a highly skilled Snowflake Data Engineer in Gurgaon to independently design, build and optimize scalable data solutions. You will own end-to-end pipeline development, including data modeling, RBAC, and performance tuning within a cloud data ecosystem.

The role requires 10–12 years in data engineering with at least 6 years focused on Snowflake, plus expertise in dbt, Python, Airflow/ADF and API integrations.

Qualificações

• We are seeking a Snowflake-certified Data Engineer with deep hands-on expertise in Snowflake architecture and end-to-end pipeline development.
• Candidate should have 10–12 years of hands-on data engineering experience, including at least 6 years with Snowflake.
• Strong knowledge of data modeling, Medallion Architecture, and cloud data ecosystems.

Responsabilidades

• Design and implement Snowflake databases, schemas, warehouses, RBAC, and workload management.
• Configure Snowpipe, Streams, Tasks, Materialized Views, Clustering, and Time Travel.
• Build and manage end-to-end pipelines using dbt, Python, and Airflow/ADF.
• Integrate REST/SOAP APIs and connect Snowflake with ERP/CRM systems.
• Maintain CI/CD workflows, code reviews, and automated deployments.
• Ensure data quality, governance, and secure access.
• Produce documentation and reusable engineering components.

Conhecimentos

Snowflake

Data engineering

SQL

Python

Airflow

dbt

Cloud platforms

CI/CD

Git workflows

Data modeling

Medallion architecture

REST/SOAP APIs

RBAC

Formação académica

BE/BTech/MCA/MBA in Information Systems/CS

Ferramentas

dbt

Airflow

Azure Data Factory (ADF)

Git

Descrição da oferta de emprego

Delivery Manager-Snowflake Data Engineer Udyog Vihar Phase II, Gurgaon, Haryana, India 10 - 15 Years Permanent

Job purpose

We are seeking a highly skilled and Snowflake‑certified Data Engineer to independently design, build, and optimize scalable data solutions across the enterprise. The ideal candidate will have deep hands‑on expertise in

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 (Salesforce, SAP, CRM/ERP, cloud services).
• 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 minimal oversight.
• Work directly with architects, business analysts, and stakeholders to translate requirements into solutions.
• Produce high-quality documentation, reusable components, and engineering best practices.
• Candidates should have a B.E./B.Tech/MCA/MBA in Information Systems, Computer Science or a related field
• 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.
• Strong 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 minimal supervision.
• Snowflake Certification (e.g., SnowPro Core or Advanced Data Engineer).

Job Snapshot

Job ID

JOB_8692

Department

Data and Technology Services