Job Title: Data Engineer

Business Unit: 

PHL Fininvest Ltd 

Domain: 

Retail lending

Location: 

Bangalore 

Band/Grade:

Department; 

Group: 

Consumer lending, 

BIU

Last updated on: 

03/04/2021

Degree of Travel 

required to:

Low

Key 

stakeholders

External 

Internal

Credit bureau, Fintech’s 

Risk, Sales & Marketing, Operations, Finance

Reporting 

structure

Role directly reports to 

Positions that report into this role

Data Engineer Lead 

-

Essential 

Qualifications

Bachelors in Engineering or MCA from a reputed institute

Essential Skills & 

Experience

• 8+ years of hands-on experience in building and maintaining robust data pipelines, data enrichment architecture 
• Proficient in building highly-performance analytical tools to utilize the data pipeline in providing actionable insight into key business performance metrics.
• Expert level proficiency in SQL and Python.
• Familiarity with Big Data technologies and utilities (Spark, Hive, Kafka), scheduling tools (control-M, Airflow).
• Experience using AWS services such as S3, Kinesis, Glue, Sagemaker
• Familiarity with MLOps processes such as data labeling, model deployment, data model feedback loop, data drift. 
• Excellent problem-solving and communication skills, including the ability to explain  complex and abstract technological concepts to peers and engineers

Job Conditions 

• 2-8 years of experience in Financial services (Retail lending) industry 
• Strong understanding of the SME lending.

Key Roles/Responsibilities: 

• Act as a technical leader for resolving problems, with both technical and non-technical audiences. 
• Identifying and solving issues with data pipelines regarding consistency, integrity, and completeness. 
• Lead data initiatives, architecture design discussions and implementation of next generation BI  solutions. 
• Participate in code reviews to ensure code quality and distribute knowledge
• Partner with data scientists, tech architects to build advanced, scalable, efficient self-service BI  infrastructure.
• Provide thought leadership and mentor data engineers in information presentation and delivery.