Delivery Manager-Snowflake data engineer

Acuity Analytics

Gurugram District

On-site

INR 3,500,000 - 6,000,000

Full time

17 hours ago
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Job summary

Acuity Analytics seeks a senior Snowflake Data Engineer to independently design, build, and optimize scalable data solutions across the enterprise. Expertise in Snowflake architecture, data modeling, and end-to-end pipeline development is required for this individual contributor role.

The ideal candidate will have hands-on skills in cloud data ecosystems, API integration, and enterprise data platforms, ensuring performance, reliability, and business alignment with minimal supervision.

Qualifications

  • BE/B.Tech/MCA/MBA in Information Systems or CS.
  • 10–12 years hands-on data engineering, with at least 6 years in Snowflake.
  • Advanced Snowflake architecture, administration, optimization, and troubleshooting.
  • Experience with Snowflake Data Sharing and Snowflake Marketplace.
  • Proficiency in SQL, Python, and cloud data workflows.
  • Hands-on with dbt, Airflow, and Azure Data Factory (ADF).
  • Experience integrating REST/SOAP APIs and CRM/ERP integrations.
  • Exposure to Azure or AWS cloud data services.
  • CI/CD practices, Git workflows, and DevOps.

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.
  • Build end-to-end pipelines using dbt, Python, and Airflow/ADF.
  • Ensure data quality, governance, and secure access patterns.
  • Architect Medallion (Bronze–Silver–Gold) data layers for scalable pipelines.
  • Take ownership of design, development, deployment, and support with minimal supervision.
  • Collaborate with architects, analysts, and stakeholders to translate requirements into solutions.
  • Produce documentation and reusable components; apply engineering best practices.

Skills

Snowflake architecture
Data modeling
dbt
Python
Airflow
ADF
REST APIs
SQL
Azure
AWS
CI/CD
Git workflows
Data Sharing
Medallion Architecture

Education

BE/B.Tech/MCA in Information Systems/CS

Tools

Snowflake
ADF
Airflow

Job description

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.

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:
  • dbt for transformations
  • Python for automation
  • 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.
Key competencies
  • 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).
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