Description :

About FinacPlus :

FinacPlus is a Great Place to Work Certified organization a recognition of our people first culture, collaborative environment, and focus on professional growth. We provide high-end virtual business process and technology services to leading global clients across finance, banking, mortgage, research, and data services. At FinacPlus, youll work with world-class talent, cutting-edge technology, and international stakeholders while still enjoying the openness, agility, and career visibility of a fast-growing company.

About Our Client TicketNetwork Inc :

FinacPlus partners with TicketNetwork, a leading U.S.-based platform in the ticketing and event distribution ecosystem. Since 2002, TicketNetwork has enabled promoters, venues, and resale operators to scale their businesses through advanced e-commerce technology, affiliate distribution models, and high-performance data platforms.

This role offers the opportunity to build and scale enterprise-grade data platforms that power business intelligence, analytics, and strategic decision-making in a high-volume, real-time environment.

Role Overview :

We are looking for a Data Platform Engineer with strong experience in data engineering, analytics platforms, and solution design, who can architect, build, and scale enterprise data systems.

This is a senior-level role, requiring hands-on expertise along with the ability to lead technical initiatives, mentor teams, and drive data strategy. The ideal candidate brings deep experience in data pipelines, BI systems, cloud platforms, and large-scale data architecture, along with a strong understanding of business use cases

Key Responsibilities :

Data Engineering & Platform Development :

- Design, build, and scale robust data pipelines and ETL/ELT workflows

- Develop and maintain high-performance, scalable data platforms

- Architect data lakes, data warehouses, and real-time data processing systems

- Implement data ingestion frameworks for structured and unstructured data sources

- Optimize data processing for performance, scalability, and cost efficiency

Architecture & Solution Design :

- Lead end-to-end data architecture design for analytics and BI use cases

- Define data models, schemas, and governance frameworks

- Design batch and real-time processing systems using modern architectures

- Evaluate and implement best-fit tools and technologies for evolving business needs

Business Intelligence & Analytics Enablement

- Partner with stakeholders to deliver high-quality, reliable data for BI and reporting

- Enable self-service analytics capabilities across business teams

- Support integration with BI tools such as Tableau / Power BI

- Translate business requirements into scalable data solutions

Leadership & Collaboration :

- Provide technical leadership and mentorship to data engineering teams

- Collaborate with data scientists, analysts, product, and engineering teams

- Drive best practices in coding, design, and data governance

- Participate in architecture discussions and strategic decision-making

Platform Reliability & Optimization :

- Ensure data quality, integrity, and consistency across systems

- Monitor and troubleshoot data pipelines and platform issues

- Implement automation, monitoring, and alerting mechanisms

- Continuously improve system reliability and performance

Technical Skills & Requirements :

Core Data Engineering :

- Strong experience in data engineering and BI development

- Expertise in ETL/ELT frameworks and data pipeline design

- Strong proficiency in SQL (advanced level mandatory)

- Hands-on experience in Python / Java / Scala

Data Architecture & Modeling :

- Deep understanding of :

1. Data Warehousing concepts

2. Data Modeling (star schema, snowflake schema)

3. Data Lakes and modern data architectures

- Experience designing enterprise-scale data systems

Cloud & Big Data Technologies :

- Strong experience with AWS or Azure (mandatory)

- Experience with :

1. AWS services (Redshift, S3, Glue, Lambda)

2. Big data tools (Apache Spark, Kafka)

- Experience working with large-scale distributed data systems

Databases & Storage :

- Strong experience with :

1. Relational DBs: PostgreSQL, MySQL

2. NoSQL DBs: MongoDB, DynamoDB

- Expertise in query optimization, indexing, and performance tuning

BI & Analytics Tools :

- Hands-on experience with Tableau / Power BI or similar tools

- Strong understanding of analytics workflows and reporting systems

DevOps & DataOps (Preferred) :

- Experience with CI/CD pipelines and automation

- Exposure to containerization (Docker, Kubernetes)

- Familiarity with data observability and monitoring tools

Experience Requirements :

- 10+ years of overall experience, with :

1. Minimum 5+ years in data engineering

2. Strong experience in BI / analytics engineering roles

- Proven experience in :

1. Designing and delivering end-to-end data solutions

2. Working on enterprise-grade data platforms

- Demonstrated ability to :

1. Lead technical initiatives and mentor teams

2. Work directly within product companies / long-term engagements (preferred over short-term consulting roles)

- Strong preference for candidates who :

1. Provide clear project-level contributions

2. Demonstrate hands-on ownership of solutions

3. Show depth over tool-based superficial experience

Why Join FinacPlus ?

- Great Place to Work Certified collaborative, inclusive culture

- Exposure to global financial and data platforms

- Work with senior stakeholders across India, U.S. & U.K.

- Hybrid/Remote flexibility with strong work-life balance

- Competitive compensation and career growth

- Opportunity to build enterprise-grade, high-impact data systems

If youre an experienced backend engineer who thrives in building scalable, cloud-native systems in a global fintech environment, wed love to hear from you.

Timings: 05:30 PM 2:30 AM IST (EST overlap)