Job Description

Job Summary:

We are seeking a skilled

Data Engineer

with strong experience in

Azure Data Services, Databricks, Snowflake, and Microsoft Fabric

to design, build, and maintain scalable data pipelines and cloud-based analytics solutions. The ideal candidate will have a deep understanding of data engineering best practices, cloud architecture, and modern data platform tools.

Key Responsibilities:

Design, develop, and manage

data pipelines

for large-scale data processing and analytics. Implement

ETL/ELT workflows

using

Azure Data Factory

or

Microsoft Fabric Data Pipelines

. Build and optimize

data models

and

data lakes/warehouses

on

Snowflake

and

Azure Data Lake

. Develop scalable

data transformation

solutions using

Databricks (PySpark, SQL, Delta Lake)

. Collaborate with

data scientists, analysts, and BI teams

to enable advanced analytics and reporting. Ensure

data quality, integrity, and security

across all data sources and pipelines. Monitor and optimize performance of data pipelines and storage solutions. Leverage

Microsoft Fabric

capabilities for unified data analytics, governance, and visualization. Follow

best practices for CI/CD

, version control, and infrastructure-as-code for data engineering projects.

Required Skills and Experience:

6+ years of experience in

data engineering

or related roles. Strong hands-on experience with

Azure Data Services

(ADF, ADLS, Synapse, Azure SQL, etc.). Expertise in

Databricks

(PySpark, Delta Lake, job orchestration, notebooks). Practical knowledge of

Snowflake

architecture, data sharing, and performance tuning. Exposure to

Microsoft Fabric

components (Data Factory, Lakehouse, Power BI integration). Proficiency in

SQL

and

Python

for data manipulation and transformation. Experience with

CI/CD

,

Git

, and

DevOps practices

for data solutions. Understanding of

data governance, cataloging, and security

within Azure environment. Strong problem-solving and communication skills.
Job Types: Full-time, Permanent

Pay: ?606,313.98 - ?2,008,807.37 per year

Benefits:

Health insurance Provident Fund
Work Location: In person