Job Description

We are seeking a skilled and experienced

Integration Developer

to join our data engineering and integration team. This role is ideal for someone with strong experience in

SSIS

,

Azure Data Factory

, and

modern Azure Data Lakehouse architectures

, along with a working knowledge of

Azure Fabric

. You will be responsible for building and maintaining reliable data integration pipelines that support business intelligence, analytics, and operational workloads.

Key Responsibilities:

Design, develop, and maintain

ETL/ELT pipelines

using

SSIS

and

Azure Data Factory (ADF)

Implement robust data workflows to ingest, transform, and store structured and unstructured data in

Azure Data Lakehouse

(e.g., using Delta Lake or Synapse) Integrate cloud and on-premise systems, ensuring high performance and data quality Participate in architectural discussions and contribute to the design of

data integration frameworks

on the

Azure platform

Collaborate with data analysts, data scientists, and business users to understand data requirements and deliver scalable solutions Monitor and optimize data pipelines for performance, reliability, and cost-efficiency Utilize

Azure Fabric

capabilities to support scalable and resilient data services where applicable Ensure compliance with security, governance, and best practices for data integration

Required Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of experience in data integration or ETL development roles Strong experience with

SSIS

and

Azure Data Factory

Solid understanding of

Azure Data Lake

,

Delta Lake

, and

Lakehouse architecture

Hands-on experience with

Azure Storage (Blob/ADLS Gen2)

and

Azure SQL/Synapse

Familiarity with

Azure Fabric

concepts, service orchestration, and distributed applications Proficient in

SQL

and comfortable working with large datasets Strong problem-solving and debugging skills

Preferred Qualifications:

Experience with

DataOps

or CI/CD pipelines for data integration Exposure to

Databricks

,

Spark

, or

Python

for data transformation Knowledge of data governance, lineage, and metadata management tools Microsoft Azure certifications (e.g., DP-203, AZ-204) are a plus
Job Type: Full-time

Pay: ?20,000.00 - ?50,000.00 per month

Benefits:

Food provided Provident Fund
Work Location: In person