Designation: Data Engineer (Python)

Location: Pune and Chennai

Work mode: Hybrid

Job type: Contract to Hire

Required:
- 8+ years of overall experience in large-scale application development with recent mandatory platform for the secure and scalable deployment of AI agents into application contexts
- Minimum of 5+ years of proven experience in a Python and pyspark Engineering lead role focused on building enterprise-grade, high-volume ELT/ETL processes using the
PySpark and Databricks ecosystem
.
- Hands-on experience with agentic AI development using YAML, JSON, QUICK API or Spring boot, Google ADK, LLM itegrations, including
Devin.AI or Github Copilot
, and integrating models via platforms like
MCP
using advanced prompt engineering.
- Proven experience developing and
automating microservice integrations
to support data-intensive applications.
- Proficiency in at least one programming language commonly used for data analytics, engineering, such as
Python or Scala
.




- Strong SQL skills and experience with various relational databases.
- Deep understanding of data modeling, data warehousing concepts, Data Mesh architecture, and data federation.
- Excellent communication, collaboration, and problem-solving skills.

Preferred:
- Experience with cloud-based Big Data platforms (e.g.,
Cloudera, Databricks, AWS, Azure, GCP
).
- Experience with frontend technologies such as
Angular or React JS
for building data-driven application interfaces.
- Practical experience applying AI/ML techniques to solve real-world business problems.
- Familiarity with containerization technologies (e.g., Docker, Kubernetes).
- Experience in data engineering within the banking retail products domain (e.g., Cards, Mortgage, Deposits, Wealth Management).
- Relevant industry certifications (e.g., AWS Certified Big Data - Specialty, Azure Data Engineer Associate).

📌 Data Engineer (Chennai)
🏢 Novel Financial Solutions
📍 Chennai