Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 2K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Engaged Employer

Oportun

Compare

3.6

based on 23 Reviews

38 Oportun Jobs

Senior Analytics Engineer

Oportun Inc

3.6

based on 23 Reviews

5-9 years

Kolkata, Mumbai, New Delhi + 4 more

1 vacancy

Senior Analytics Engineer

Oportun

posted 19d ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Python SQL CCTV Monitoring Postgresql Agile Coaching

+ 4 more

Job Description

Position Overview:

As a Sr. Analytics Engineer at Oportun, you will be a key member of our team, responsible for designing, developing, and maintaining sophisticated software / data platforms in achieving the charter of the engineering group. Your mastery of a technical domain enables you to take up business problems and solve them with a technical solution. With your depth of expertise and leadership abilities, you will actively contribute to architectural decisions, mentor junior engineers, and collaborate closely with cross-functional teams to deliver high-quality, scalable software solutions that advance our impact in the market. This is a role where you will have the opportunity to take up responsibility in leading the technology effort - from technical requirements gathering to final successful delivery of the product - for large initiatives (cross-functional and multi-month-long projects).

RESPONSIBILITIES

Data Architecture and Design:

Lead the design and implementation of scalable, efficient, and robust data architectures to meet business needs and analytical requirements.
Collaborate with stakeholders to understand data requirements, build subject matter expertise, and define optimal data models and structures.

Data Pipeline Development and Optimization:

Design and develop data pipelines, ETL processes, and data integration solutions for ingesting, processing, and transforming large volumes of structured and unstructured data.
Optimize data pipelines for performance, reliability, and scalability.

Database Management and Optimization:

Oversee the management and maintenance of databases, data warehouses, and data lakes to ensure high performance, data integrity, and security.
Implement and manage ETL processes for efficient data loading and retrieval.

Data Quality and Governance:

Establish and enforce data quality standards, validation rules, and data governance practices to ensure data accuracy, consistency, and compliance with regulations.
Drive initiatives to improve data quality and documentation of data assets.

Mentorship and Leadership:

Provide technical leadership and mentorship to junior team members, assisting in their skill development and growth.
Lead and participate in code reviews, ensuring best practices and high-quality code.

Collaboration and Stakeholder Management:

Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data needs and deliver solutions that meet those needs.
Communicate effectively with non-technical stakeholders to translate technical concepts into actionable insights and business value.

Performance Monitoring and Optimization:

Common Requirements

Implement monitoring systems and practices to track data pipeline performance, identify bottlenecks, and optimize for improved efficiency and scalability.
You have a strong understanding of a business or system domain with sufficient knowledge & expertise around the appropriate metrics and trends. You collaborate closely with product managers, designers, and fellow engineers to understand business needs and translate them into effective solutions.
You provide technical leadership and expertise, guiding the team in making sound architectural decisions and solving challenging technical problems. Your solutions anticipate scale, reliability, monitoring, integration, and extensibility.
You conduct code reviews and provide constructive feedback to ensure code quality, performance, and maintainability. You mentor and coach junior engineers, fostering a culture of continuous learning, growth, and technical excellence within the team.
You play a significant role in the ongoing evolution and refinement of current tools and applications used by the team, and drive adoption of new practices within your team.
You take ownership of (customer) issues, including initial troubleshooting, identification of root cause and issue escalation or resolution, while maintaining the overall reliability and performance of our systems.
You set the benchmark for responsiveness and ownership and overall accountability of engineering systems.
You independently drive and lead multiple features, contribute to (a) large project(s) and lead smaller projects. You can orchestrate work that spans multiples engineers within your team and keep all relevant stakeholders informed. You support your lead/EM about your work and that of the team, that they need to share with the stakeholders, including escalation of issues

Qualifications

Bachelors or Masters degree in Computer Science, Data Science, or a related field.
5+ years of experience in Analytics Engineer/Advanced Analytics Engineer.
Proficiency in programming languages like Python/PySpark and Java or Scala
Expertise in big data technologies such as Hadoop, Spark, Kafka, etc.
In-depth knowledge of SQL and experience with various database technologies (e.g., PostgreSQL, MariaDB, NoSQL databases).
Passionate about using data to help guide strategic decision making.
Experienced at telling stories with data and communicating to stakeholders at all levels of the business.
Experienced with orchestration and designing job schedules using the CICD tools like Jenkins, Airflow or Databricks.
Ability to work in an Agile environment (Scrum, Lean, Kanban, etc)
Ability to mentor junior team members.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., AWS Redshift, S3, Azure SQL Data Warehouse).
Experienced in building strong relationships with stakeholders and colleagues to tackle big, cross-functional problems.
Excellent communication with both technical and non-technical audiences.
Familiarity or certification in Databricks is a plus.