Data Engineer

Job Title : Data Engineer

Experience : 6–8 Years

Work Mode :

Remote (9 AM – 5 PM EST)

Employment Type : Full-time

Notice Period : Immediate Joiner

About the Role

We are seeking an experienced

Data Engineer

to design, develop, and implement robust data exchange and processing solutions using Azure technologies. The ideal candidate will have strong hands-on expertise in

Azure Data Factory (ADF), Synapse, and Databricks , with a solid foundation in

ETL, SQL, and data warehousing concepts .

Key Responsibilities

Design, develop, and implement ETL solutions using

Azure Data Factory ,

Synapse , and

DataBricks .

Perform

data cleansing and migration

using

Python .

Develop, optimize, and troubleshoot

SQL / T-SQL / PL-SQL

queries and stored procedures.

Collaborate directly with clients and business teams to understand requirements and suggest optimal solutions.

Lead conversations with clients independently to propose best-fit data engineering approaches.

Ensure development adheres to best practices, coding standards, and modern data architecture principles.

Conduct

unit, integration, system, and performance testing .

Participate in

release estimation and planning .

Support, maintain, and enhance existing data solutions.

Qualifications

Bachelor’s or Master’s degree in

Computer Science ,

Engineering , or related field.

4–8 years

of experience delivering

end-to-end ETL projects .

Minimum

3 years of hands-on experience in Azure ADF .

Knowledge of

Databricks (PySpark / PySense)

is an added advantage.

Strong understanding of

DWH concepts ,

SQL Server , and the

Azure ecosystem .

Excellent communication skills with the ability to work directly with clients.

Must be comfortable with

background verification (BGV) .