Python Developer
6 days ago
Job Title:
Python Developer (PySpark, Databricks, AWS)
Location:
Hyderabad / Pune / Bangalore / Chennai
Experience:
4 – 5 Years
Employment Type:
Full-time
Job Summary:
We are looking for a skilled
Python Developer
with expertise in
PySpark, Databricks, and AWS
to join our dynamic team. The candidate will be responsible for designing, developing, and maintaining data pipelines, working on large-scale datasets, and delivering high-quality solutions in a fast-paced environment.
Key Responsibilities:
- Design, develop, and maintain
data pipelines
and ETL processes using
PySpark
. - Develop and deploy
data solutions
on
Databricks
for analytics and reporting. - Work with
AWS services
(S3, EC2, Lambda, RDS, etc.) for data storage, processing, and deployment. - Collaborate with data engineers, analysts, and business teams to gather requirements and deliver scalable solutions.
- Optimize and tune PySpark jobs for
performance and cost efficiency
. - Troubleshoot and resolve production issues in a timely manner.
- Maintain
data security, governance, and compliance
standards. - Write
unit tests, documentation
, and follow best practices for code quality and version control (Git).
Required Skills & Qualifications:
- Programming Languages:
Python, PySpark - Big Data Tools:
Databricks, Spark, Hadoop (basic knowledge is a plus) - Cloud Platforms:
AWS (S3, EC2, Lambda, RDS) - Strong experience in
data modeling, ETL, and data processing
. - Solid understanding of
SQL and relational databases
. - Knowledge of
Agile methodologies
and
SDLC processes
. - Strong problem-solving skills and ability to work in a
fast-paced, collaborative environment
.
Preferred Skills:
- Experience with
CI/CD pipelines
for data workflows. - Knowledge of
Airflow
or other orchestration tools. - Exposure to
Data Analytics
and reporting tools (Tableau, Power BI, or similar).
Education:
- Bachelor's or Master's degree in
Computer Science, Information Technology, or related fields
.
Benefits:
- Competitive salary and performance-based incentives
- Opportunity to work on cutting-edge
Big Data and Cloud technologies - Flexible working environment and supportive team culture
- Learning and growth opportunities
-
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