Job Description

Position Summary:

We are seeking a skilled and hands-on

Snowflake and Azure Database Developer

to design, develop, optimize, and manage modern data platforms. This role requires strong experience with Snowflake, Azure SQL Databases, and data integration tools. The ideal candidate will work closely with data engineers, analysts, and business teams to deliver scalable and high-performance data solutions.

Required Skills:

7+ years of experience with

Snowflake

development and performance optimization. Strong knowledge of

Azure SQL Database

,

Azure Synapse Analytics

, and

Data Factory

. Expertise in

SQL programming

, performance tuning, stored procedures, and query optimization. Experience in handling

semi-structured data (JSON, XML, Avro, etc.)

. Knowledge of

data warehousing concepts

,

star/snowflake schemas

, and

data modeling

. Proficiency with scripting languages such as

Python

or

Shell

. Experience in

CI/CD integration

for data pipelines using tools like

Azure DevOps

.

Nice to Have:

Experience with

Power BI

,

Sigma

, or other reporting tools. Knowledge of

YugabyteDB

or other distributed SQL databases. Exposure to

Rocket ETL

,

Qlik Replicate

, or similar replication tools. Familiarity with

Infrastructure as Code (IaC)

using Terraform or Bicep. Understanding of

Data Lake

architecture and integration with

Azure Data Lake Storage (ADLS)

. Experience with version control (e.g., Git) and Agile methodologies.

Key Responsibilities:

Design, develop, and maintain

Snowflake

data models, schemas, views, and stored procedures. Implement and optimize

Azure SQL

,

Azure Synapse

, and

Azure Data Factory

pipelines. Develop and manage

ETL/ELT pipelines

for structured and semi-structured data using SQL, Python, or Data Factory. Write complex

SQL queries

for data extraction, transformation, validation, and performance tuning. Manage

data integration

from various sources including APIs, flat files, and cloud storage. Implement

data security, governance, and access control

within Snowflake and Azure environments. Monitor, troubleshoot, and resolve performance issues across Snowflake and Azure DB workloads. Collaborate with Data Engineers, BI teams, and DevOps for seamless pipeline integration and deployment. Ensure compliance with data standards and regulatory requirements (e.g., GDPR, HIPAA, etc.). Participate in

code reviews

, documentation, and agile sprint planning.

Qualifications

BE

Range of Year Experience-Min Year

5

Range of Year Experience-Max Year

7