Senior Data Engineer

About this role

Job title: Senior Data Engineer

Location:
Remote

Employment Type:
Full-time (W2 only, No C2C)

Experience:
10+ Years

Job Summary:
We are seeking an experienced
Azure Data Engineer with 10+ years of experience
in designing, building, and optimizing large-scale data processing systems and data pipelines on the
Microsoft Azure cloud platform
. The ideal candidate will have strong expertise in
data engineering, ETL/ELT development, big data processing, data warehousing, and cloud-based data solutions
. The candidate will work closely with
data architects, analysts, and business stakeholders
to design and implement scalable data solutions that support enterprise analytics and reporting.

Key Responsibilities:

- Design, develop, and maintain
scalable data pipelines and ETL/ELT workflows
using
Azure Data Factory (ADF), Azure Databricks, and Azure Synapse Analytics
to process and transform large volumes of structured and unstructured data.
- Build and optimize
big data processing solutions
using
Apache Spark, PySpark, Scala, or SQL within Azure Databricks
, ensuring high performance and efficient data transformation.
- Design and implement
modern data warehouse and lakehouse architectures
using
Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), and Azure SQL Database
to support enterprise-level analytics and reporting.
- Develop and maintain
data ingestion frameworks
to integrate data from multiple sources such as
databases, APIs, flat files, streaming platforms, and third-party applications
into Azure-based data platforms.
- Implement
data modeling techniques
including
star schema, snowflake schema, and dimensional modeling
to support business intelligence and analytical workloads.
- Develop
SQL-based data transformation and data quality validation processes
using
T-SQL, Spark SQL, and stored procedures
to ensure accuracy, c...