Job description
Sr. Technical Data Engineer- India | Remote | Fintech
Bainbridge-India
Job Type: Contract/ Project focused (6-18 months with potential for extension).
Compensation: ₹2.5- ₹3.5L/ per month. Benefits are not included.
Experience: 5-7 years. Experience in a start-up environment highly preferred.
Position Location: This is a remote position based in India, but close collaboration with our U.S. team is needed. Candidates should expect at least 2-3 hours per day of overlap with U.S. business hours for effective communication and collaboration.
Start Date: Immediately
How to Apply: Interested candidates should submit a PDF version of resume and a brief letter of interest to: Hiring Manager- [email protected].
About Us
Bainbridge is a leading financial services firm, serving the top private equity funds and corporate buyers. We have completed over $5 billion in small- to mid-cap acquisitions for PE funds and corporations in all market sectors including: technology, healthcare, automation, global supply chain, machine learning and energy. We are experiencing exciting growth into the investment banking and fintech arenas.
Position Summary:
We are looking for a skilled and highly motivated Technical Data Engineer- Contractor to join us for a long term project at a pivotal time. You will have the opportunity to build and shape critical components of our data infrastructure- not entirely from scratch, but close to it. This is a rare chance to design and implement systems that will power decision-making and product innovation across the company, with the potential to transform the way financial services work.
Responsibilities:
· Gain a comprehensive understanding of current data sources, pipelines, and storage systems.
· Design, build, and maintain scalable ETL/ELT pipelines to automate the movement of data from diverse sources to a centralized data warehouse.
· Optimize data pipelines for performance, reliability, and maintainability.
· Ensure data is validated, transformed, and stored in formats that meet analytical needs.
· Analyze existing data origin sources (internal databases, third-party APIs, web-based systems) to assess structure, quality, and reliability.
· Define and document data architecture, recommending improvements to support current and future data needs.
· Collaborate with stakeholders to align technical solutions with business requirements.
· Apply data wrangling techniques to prepare raw data for analysis, including handling missing values, data deduplication, and schema standardization.
· Ensure data integrity and implement logging, alerting, and monitoring for all data workflows.
· Partner with Data Analysts and business Stakeholders to support A/B testing frameworks and provide infrastructure for running experiments.
· Enable self-service reporting and analysis by ensuring well-documented, accessible datasets.
· Assist in the development of dashboards and reports using tools like Tableau or Power BI.
· Support the data team in presenting key metrics and insights in a visually compelling way.
· Continuously identify and integrate new data sources—internal or external—to enhance business insights and competitive edge.
· Deploy systems to monitor data quality, pipeline health, and job failures proactively.
· Design and implement automated pipelines to ingest and process data from key sources.
· Ensure data is clean, validated, and ready for use by analysts and stakeholders.
· Document existing workflows and identify quick wins for optimization.
· Take initiative and ownership of projects from concept to deployment, demonstrating a builder’s mindset.
Qualifications:
- Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- 5+ years of experience as a Data Engineer or in a similar role.
- Proficient in SQL and at least one programming language (e.g., Python).
- Experience with data pipeline tools (e.g., Airflow, dbt, Apache Beam, etc.).
- Familiarity with cloud platforms (AWS, GCP, Azure) and data warehouses (e.g., Snowflake, BigQuery, Redshift).
- Experience with frameworks like BeautifulSoup, Scrapy, or Selenium.
- Knowledge of A/B testing frameworks and visualization tools (e.g., Tableau, Power BI).
- Strong problem-solving skills and the ability to work in a fast-paced environment.
- Experience in an entrepreneurial or start up environment preferred.
- Must be able to manage time and deliverables independently.
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