Data Engineer
4 days ago
About the Role:
We're looking for a
Senior Software Engineer (Data Engineer – PySpark Expert)
who can design, build, and optimize scalable data pipelines and solutions. You'll play a key role in transforming large-scale datasets into actionable insights while collaborating with cross-functional teams across data, analytics, and engineering.
Key Responsibilities:
- Design, develop, and maintain
ETL pipelines
using
PySpark
and other big data frameworks. - Work with
AWS, Azure, and Databricks
to build scalable and high-performance data systems. - Optimize data flows for speed, reliability, and scalability.
- Integrate data from multiple sources, ensuring consistency and data quality.
- Collaborate with data scientists, analysts, and software engineers to support data-driven decisions.
- Implement
data governance, quality checks, and documentation
for all data processes. - Troubleshoot and resolve performance and data integrity issues.
Required Skills & Experience:
4–8 years of hands-on experience in
Data Engineering / Big Data
.
Strong command of
PySpark, Spark SQL, and Python
.
Proficiency with
cloud platforms (AWS / Azure)
and
Databricks
.
Experience working with
data lakes, data warehouses, and ETL processes
.
Familiarity with
CI/CD pipelines
, version control (Git), and automation tools.
Understanding of
SQL
,
NoSQL
, and modern data architectures.
Excellent problem-solving and analytical skills.
Good to Have:
- Knowledge of
Delta Lake, Airflow, or Kafka
. - Experience in
performance tuning
of Spark jobs. - Exposure to
machine learning pipelines
or data visualization tools.
Why Join Devrolls:
Competitive salary and benefits package
Work on global-scale data projects
Collaborative and innovative work culture
Continuous learning & upskilling opportunities
How to Apply:
If you're passionate about building scalable data systems and want to work with modern cloud technologies —
apply now
Send your resume to
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