Data Engineer

Virtusa; Dubai; On-site; AED 330,000 - 480,000; Full time

Job summary

Virtusa is seeking a Data Bricks Engineer to design and implement data pipelines for banking applications. The role focuses on building scalable Spark/Databricks pipelines, streaming data ingestion with Kafka, and cloud-based data storage and orchestration.

The ideal candidate will have strong SQL, Python/Scala/Java skills and experience with Delta Lake, data modelling, and CI/CD workflows. Collaboration with cross-functional teams is essential to success.

Qualifications

• 58 years of experience designing and building data pipelines with Spark/Databricks or equivalent big data frameworks.
• Hands-on expertise with streaming and messaging systems such as Kafka (pub-sub) and Confluent Cloud.
• Experience creating producers/consumers and topics and integrating them into downstream processing.
• Deep understanding of relational databases and CDC; proficiency in SQL Server/Oracle or other RDBMS.
• Proficiency in Python, Scala or Java and solid SQL for data manipulation.
• Cloud platform experience with Azure or AWS services for storage, compute and orchestration.
• Data modelling and warehousing knowledge, Delta Lake and Lakehouse concepts.
• Version control, Git and CI/CD pipelines; automating deployments and IaC.

Responsibilities

• Design and build robust data pipelines using Databricks/Spark for banking data.
• Implement streaming architectures and ensure reliable data ingestion from sources like Kafka.
• Model and transform data for downstream analytics and reporting.
• Collaborate with cross-functional teams and communicate complex tech concepts clearly.

Skills

Databricks

Spark

Kafka

SQL

Python/Scala/Java

Cloud (Azure/AWS)

Delta Lake

CDC/Change Data Capture

Data Modeling

Streaming architectures

Tools

NiFi

Flume

Git

CI/CD

Job description

Data Bricks Engineer Banking

58 years of experience designing and building data pipelines using Apache Spark Databricks or equivalent bigdata frameworks.
Hands on expertise with streaming and messaging systems such as
Apache Kafka (publish subscribe architecture) Confluent Cloud
RabbitMQ or Azure Event Hub. Experience creating producers
consumers and topics and integrating them into downstream
processing.

Deep understanding of relational databases and CDC. Proficiency
in SQL Server Oracle or other RDBMSs; experience capturing
change events using Debezium or native CDC tools and
transforming them for downstream consumption.

Proficiency in programming languages such as Python Scala or
Java and solid knowledge of SQL for data manipulation and
transformation.

Cloud platform expertise. Experience with Azure or AWS services for
data storage compute and orchestration (e.g. ADLS S3 Azure
Data Factory AWS Glue Airflow DBX DLT).

Data modelling and warehousing. Knowledge of data Lakehouse
architectures Delta Lake partitioning strategies and performance
optimisation.

Version control and DevOps. Familiarity with Git and CI/CD
pipelines; ability to automate deployment and manage
infrastructure as code.
Strong problem solving and communication skills. Ability to work
with cross functional teams and articulate complex technical
concepts to nontechnical stakeholders.

Preferred/ Bonus Skills

• Experience with event driven architectures and micro services
  integration.
• Exposure to NiFi Flume or other ingestion frameworks for
  connecting heterogeneous sources.
• Knowledge of graph processing or machine learning pipelines on
  Spark.

Required Experience:

IC