Data bricks
2 weeks ago
Job Title:
Senior Data Engineer – Databricks & PySpark
Location:
Hyderabad
Experience:
5+ Years
Employment Type:
Full-Time
Role Overview
We're looking for a seasoned Data Engineer with deep expertise in
Databricks
,
PySpark
, and
cloud-native data pipelines
. This role is ideal for someone who thrives in building scalable, secure, and governed data platforms while collaborating across engineering, analytics, and business teams.
Key Responsibilities
Core Engineering
- Develop efficient
data transformation logic
using PySpark - Manage
Delta Lake
for ACID-compliant storage and streaming - Build and orchestrate
data pipelines
using Databricks Jobs - Write complex
SQL queries
for data analysis and modeling - Collaborate via
Databricks Notebooks
for testing and documentation
Cloud & DevOps Integration
- Integrate Databricks with
AWS services
for ingestion and storage - Implement
CI/CD pipelines
within Databricks using DevOps best practices - Ensure
data governance
, access control, and security compliance
Reporting & Visualization
- Create impactful
finance reports
and dashboards using Power BI - Support business teams with data modeling and KPI development
Ideal Candidate Profile
- 5+ years of experience in data engineering and cloud platforms
- Strong hands-on with PySpark, SQL, and Databricks
- Experience with AWS integration and CI/CD in data workflows
- Familiarity with data governance and security frameworks
- Exposure to Power BI for financial reporting is a plus
- Excellent problem-solving and communication skills
Preferred Qualifications
- Certifications in AWS, Databricks, or Azure Data Engineering
- Experience with Delta Lake and real-time streaming architectures
- Understanding of financial data structures and reporting needs
-
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