Job Description
Company Description
Squash Apps is a highly-rated full-stack consulting company dedicated to creating next-generation, scalable, and robust web applications for visionary clients. Leveraging cutting-edge technologies such as MEAN, MERN, MEVN stacks, Java stack, SQL/NOSQL, Elastic Search, Redis, and hybrid mobile apps, Squash Apps delivers exceptional software solutions. With a portfolio highlighted on their website and a successful eCommerce product, Panitr, Squash Apps emphasizes innovation and quality. The team is passionate about developing top-tier applications and invites forward-thinkers to join their growing organization.
We are looking for a
Senior Microsoft Fabric Data Engineer
to lead end-to-end
data pipeline development across the
Microsoft Fabric ecosystem . The ideal
candidate is strong in Data Factory, Lakehouse architecture, Delta, Spark, and
Power BI integrations.
Responsibilities
๏ปฟ
โ Design and build scalable
ELT/ETL pipelines
using Microsoft Fabric (Data
Factory, Dataflows, Notebooks, Spark).
โ Develop & optimize
Lakehouse / Delta Lake
layers (BronzeโSilverโGold).
โ Implement data ingestion pipelines using
Fabric Data Factory Pipelines &
Dataflows Gen2 .
โ Work with
Fabric Lakehouse, Warehouses, KQL DB, OneLake .
โ Build and tune
Spark notebooks
for transformations and large-scale
processing.
โ Integrate with
Power BI
for semantic modeling and data product delivery.
โ Ensure data governance using
Fabric capacities, security roles, lineage
tools .
โ Implement CI/CD using
Azure DevOps / GitHub , including branching &
deployment.
โ Mentor teams, perform code reviews, and drive best practices.
Required Skills
โ
7โ12+ years
of Data Engineering;
2โ3+ years
solid experience with
Microsoft Fabric .
โ Strong in
PySpark, SQL, Delta Lake, Spark Notebooks .
โ Deep understanding of
OneLake, Lakehouse, Warehouses, Data Factory .
โ Experience with
Azure
โ Strong in data modeling (star/snowflake), ELT, and Lakehouse architecture.
โ Strong hands-on experience with
Git, CI/CD, Azure DevOps .
โ Excellent performance tuning skills for Spark workloads.
Good to Have
โ Power BI DAX / Semantic Models exposure
โ Experience with KQL / Real-time analytics
โ Azure or Fabric certifications
โ Knowledge of DataOps, monitoring, cost optimization
Microsoft Fabric Data Engineer (4โ6
Years Experience)
Weโre looking for a
Microsoft Fabric Data Engineer
to build modern, scalable data
pipelines across the
Microsoft Fabric ecosystem . Perfect for someone with strong
skills in Spark, Data Factory, Lakehouse, and SQL.
Responsibilities
โ Build and maintain
ELT/ETL pipelines
using Microsoft Fabric (Data Factory,
Dataflows Gen2, Notebooks).
โ Develop
Lakehouse layers (BronzeโSilverโGold)
using Delta Lake.
โ Work with
Fabric Lakehouse, Warehouses, KQL DB, OneLake
for
end-to-end data solutions.
โ Perform data ingestion, transformation, and performance tuning using
Spark
notebooks .โ Integrate datasets with
Power BI
and semantic models.
โ Manage deployments using
Git + CI/CD
(Azure DevOps / GitHub).
โ Ensure data quality, documentation, and best practices.
Required Skills
โ
4โ6 years
of Data Engineering experience.
โ Hands-on with
Microsoft Fabric
components: Data Factory, Lakehouse,
Pipelines, Notebooks.
โ Strong in
PySpark, SQL, Delta Lake, Spark transformations .
โ Experience with
Azure
โ Good understanding of data modeling and Lakehouse architecture.
โ Experience with Git and basic CI/CD workflows.
โจ
Good to Have
โ Exposure to
Power BI
(DAX or modeling).
โ Knowledge of KQL or Real-time analytics.
โ Azure / Fabric certification.
