Data Engineer

Job Title: Business Analyst – Fintech Domain (Mumbai Only)

Location: Mumbai, India

Experience: 5 to 10 Years

Domain: Fintech (Commodity domain exposure will be provided)

Education: Graduate/Postgraduate from a Premium Institute (Tier 1 preferred)

About the Role:

We are looking for an experienced Business Analyst with 5–10 years of proven experience in the Fintech domain. This role is ideal for candidates who have a strong foundation in business analysis and are keen to be groomed into the Commodity domain. You will work closely with cross-functional teams to drive bespoke application development and deliver high-quality, domain-aligned solutions.

Key Responsibilities:

• Collaborate with stakeholders to gather, analyze, and document detailed business and functional requirements.
• Work on bespoke application development – from requirement elicitation to testing and go-live support.
• Translate business needs into functional specifications and user stories.
• Participate in solution design, data mapping, and system integration discussions.
• Conduct UAT planning, execution, and post-production validation.
• Continuously identify process improvement opportunities and recommend solutions.

Required Skills & Qualifications:

• Bachelor's/Master’s degree from a Premium Institute (Tier 1 background preferred).
• 5–10 years of relevant experience as a Business Analyst in Fintech/Banking/Financial Services.
• Strong understanding of BA processes – requirement

Location Constraint:

• Only candidates currently based in Mumbai will be considered.
• Profiles from Pune or other locations will not be entertained.

• Act as a bridge between business users and technical teams, translating business requirements into LOANIQ solution designs.
• Gather, analyze, and document detailed functional requirements for new features, system enhancements, and regulatory changes.
• Work closely with development teams to validate LOANIQ configurations, test workflows, and review technical designs.
• Lead or support UAT, coordinate with QA teams, and ensure sign-off from business stakeholders.
• Conduct gap analysis and suggest best practices using LOANIQ's capabilities to improve loan operations.
• Create detailed BRDs, FRDs, process flow diagrams, and user stories aligned with Agile/Scrum methodology.
• Support LOANIQ implementation, upgrades, and version migrations.
• Conduct training, prepare user guides, and provide post-go-live support.

We are a rapidly expanding global technology partner, that is looking for a highly skilled Senior (Python) Data Engineer to join their exceptional Technology and Development team. The role is in Kolkata. If you are passionate about demonstrating your expertise and thrive on collaborating with a group of talented engineers, then this role was made for you!

At the heart of technology innovation, our client specializes in delivering cutting-edge solutions to clients across a wide array of sectors. With a strategic focus on finance, banking, and corporate verticals, they have earned a stellar reputation for their commitment to excellence in every project they undertake.

We are searching for a senior engineer to strengthen their global projects team. They seek an experienced Senior Data Engineer with a strong background in building Extract, Transform, Load (ETL) processes and a deep understanding of AWS serverless cloud environments.

As a vital member of the data engineering team, you will play a critical role in designing, developing, and maintaining data pipelines that facilitate data ingestion, transformation, and storage for our organization.

Your expertise will contribute to the foundation of our data infrastructure, enabling data-driven decision-making and analytics.

Key Responsibilities:

• ETL Pipeline Development: Design, develop, and maintain ETL processes using Python, AWS Glue, or other serverless technologies to ingest data from various sources (databases, APIs, files), transform it into a usable format, and load it into data warehouses or data lakes.
• AWS Serverless Expertise: Leverage AWS services such as AWS Lambda, AWS Step Functions, AWS Glue, AWS S3, and AWS Redshift to build serverless data pipelines that are scalable, reliable, and cost-effective.
• Data Modeling: Collaborate with data scientists and analysts to understand data requirements and design appropriate data models, ensuring data is structured optimally for analytical purposes.
• Data Quality Assurance: Implement data validation and quality checks within ETL pipelines to ensure data accuracy, completeness, and consistency.
• Performance Optimization: Continuously optimize ETL processes for efficiency, performance, and scalability, monitoring and troubleshooting any bottlenecks or issues that may arise.
• Documentation: Maintain comprehensive documentation of ETL processes, data lineage, and system architecture to ensure knowledge sharing and compliance with best practices.
• Security and Compliance: Implement data security measures, encryption, and compliance standards (e.g., GDPR, HIPAA) as required for sensitive data handling.
• Monitoring and Logging: Set up monitoring, alerting, and logging systems to proactively identify and resolve data pipeline issues.
• Collaboration: Work closely with cross-functional teams, including data scientists, data analysts, software engineers, and business stakeholders, to understand data requirements and deliver solutions.
• Continuous Learning: Stay current with industry trends, emerging technologies, and best practices in data engineering and cloud computing and apply them to enhance existing processes.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience as a Data Engineer with a focus on ETL pipeline development.
• Strong proficiency in Python programming.
• In-depth knowledge of AWS serverless technologies and services.
• Familiarity with data warehousing concepts and tools (e.g., Redshift, Snowflake).
• Experience with version control systems (e.g., Git).
• Strong SQL skills for data extraction and transformation.
• Excellent problem-solving and troubleshooting abilities.
• Ability to work independently and collaboratively in a team environment.
• Effective communication skills for articulating technical concepts to non-technical stakeholders.
• Certifications such as AWS Certified Data Analytics - Specialty or AWS Certified DevOps Engineer are a plus.

Preferred Experience:

• Knowledge of data orchestration and workflow management tools
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Previous experience in industries with strict data compliance requirements (e.g., insurance, finance) is beneficial.

What You Can Expect:

- Innovation Abounds: Join a company that constantly pushes the boundaries of technology and encourages creative thinking. Your ideas and expertise will be valued and put to work in pioneering solutions.

- Collaborative Excellence: Be part of a team of engineers who are as passionate and skilled as you are. Together, you'll tackle challenging projects, learn from each other, and achieve remarkable results.

- Global Impact: Contribute to projects with a global reach and make a tangible difference. Your work will shape the future of technology in finance, banking, and corporate sectors.

They offer an exciting and professional environment with great career and growth opportunities. Their office is located in the heart of Salt Lake Sector V, offering a terrific workspace that's both accessible and inspiring. Their team members enjoy a professional work environment with regular team outings. Joining the team means becoming part of a vibrant and dynamic team where your skills will be valued, your creativity will be nurtured, and your contributions will make a difference. In this role, you can work alongside some of the brightest minds in the industry.

If you're ready to take your career to the next level and be part of a dynamic team that's driving innovation on a global scale, we want to hear from you.

Apply today for more information about this exciting opportunity.

Onsite Location: Kolkata, India (Salt Lake Sector V)

Role: SDET III

Location: Pune

Department: Engineering

About Us:

Ola is India’s largest mobility platform and one of the world’s largest ride-hailing companies, serving 250+ cities across India, Australia, New Zealand, and the UK. The Ola app offers mobility solutions by connecting customers to drivers and a wide range of vehicles across bikes, auto-rickshaws, metered taxis, and cabs, enabling convenience and transparency for hundreds of millions of consumers and over 1.5 million driver-partners.

Ola’s core mobility offering in India is supplemented by its electric-vehicle arm, Ola Electric; India’s largest fleet management business, Ola Fleet Technologies and Ola Skilling, that aims to enable millions of livelihood opportunities for India's youth. With its acquisition of Ridlr, India’s leading public transportation app and investment in Vogo, a dockless scooter sharing solution, Ola is looking to build mobility for the next billion Indians. Ola also extends its consumer offerings like micro-insurance and credit led payments through Ola Financial Services and a range of owned food brands through India’s largest network of kitchens under its Food business. 

Ola was founded in 2011 by Bhavish Aggarwal and Ankit Bhati with a mission to build mobility for a billion people. For more details, visit https://mailtrack.io/trace/link/9cf02745c1ccbb168313fd6de6e15ec819c3fd1d?url=http%3A%2F%2Fwww.olacabs.com%2Fmedia&;userId=2857940&signature=1ee2b69749ed1642">www.olacabs.com/media.

Roles and Responsibilities

• Review requirements, specifications and technical design documents to provide timely and meaningful feedback.
• Create detailed, comprehensive and well-structured functional, system, and regression test plans and test cases.
• You will understand the requirements and would write automation tests for integration, load, and performance.
• Estimate, prioritize, plan and coordinate testing activities.
• Write and Implement Tests using Selenium and Java.
• Write and Implement Load and performance tests.
• Design, develop and troubleshoot automated test scripts to validate the technical and functional integrity of web and mobile-based application components, backend API, and reports.
• Collect, analyze and interpret test metrics.
• Summarize test data and report findings.
• Liaise with internal teams (e.g. developers and product managers) to identify system requirements. 
• Monitor debugging process results.

Critical Functional Skills

• Exposure to best practices in SQA and software development, including code reviews, debugging, troubleshooting and CI processes
• Strong knowledge of Rest-Assured/API testing, Selenium and Appium/Robotium.
• Hands-on experience in performance tools.
• Strong in Core Java fundamentals and Object-Oriented Programming concepts
• Proven work experience in software quality assurance.
• Strong knowledge of software QA methodologies, tools and processes.
• Experience in writing clear, concise and comprehensive test plans and test cases.
• Hands-on experience with both white box and black-box testing.
• Hands-on experience with functional and non-functional testing.
• Experience working in an Agile/Scrum development process.
• Excellent communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences, both technical and non-technical

Experience Required

• 6+ years of experience in QA
• QA experience across multiple projects.

Minimum Qualifications Required
BS/MS degree in Computer Science, Engineering or a related subject.

What you will be doing:

As a part of the Global Credit Risk and Data Analytics team, this person will be responsible for carrying out analytical initiatives which will be as follows: -

• Dive into the data and identify patterns
• Development of end-to-end Credit models and credit policy for our existing credit products
• Leverage alternate data to develop best-in-class underwriting models
• Working on Big Data to develop risk analytical solutions
• Development of Fraud models and fraud rule engine
• Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented
• Working on cutting-edge techniques e.g. machine learning and deep learning models

Example of projects done in past:

• Lazypay Credit Risk model using CatBoost modelling technique ; end-to-end pipeline for feature engineering and model deployment in production using Python
• Fraud model development, deployment and rules for EMEA region

Basic Requirements:

• 1-3 years of work experience as a Data scientist (in Credit domain)
• 2016 or 2017 batch from a premium college (e.g B.Tech. from IITs, NITs, Economics from DSE/ISI etc)
• Strong problem solving and understand and execute complex analysis
• Experience in at least one of the languages - R/Python/SAS and SQL
• Experience in in Credit industry (Fintech/bank)
• Familiarity with the best practices of Data Science

Add-on Skills : 

• Experience in working with big data
• Solid coding practices
• Passion for building new tools/algorithms
• Experience in developing Machine Learning models