SUMMARY

Wissen Technology is hiring for Data Engineer Lead

About Wissen Technology:

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a solid product engineering mindset ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact the first time, every time.

Job Summary:

We are seeking a highly skilled Data Engineer to join our global data engineering team responsible for building and supporting enterprise-scale data platforms, data pipelines, and analytics solutions. The team develops and manages data messaging platforms and data repositories that store transactional, reference, and aggregated risk data for real-time and batch processing across operational data stores, archives, and data marts.

Experience: 8 - 15 Years

Location : Bangalore

Mode of Work: Full Time

Education : B.Tech/M.Tech or Computer Science related fields or Information Technology.

Key Responsibilities:

This role is primarily an Individual Contributor (IC)position with partial ownership of project delivery,



stakeholder coordination, and technical leadership responsibilities. The ideal candidate will be hands-on in developing scalable data solutions while collaborating with globally distributed teams, business stakeholders, and support partners to ensure successful project execution.

The development environment follows Agile (Scrum) methodologies and up-to-date DevOps practices, requiring strong technical expertise, ownership, communication skills, and the ability to drive deliverables independently.

Data Engineering & Development

- Design, develop, and maintain scalable and high-performance data pipelines using PySpark and Databricks .

- Build and optimize ETL/ELT processes for processing large-scale structured and unstructured datasets.

- Develop efficient data transformation frameworks and ingestion pipelines from multiple source systems.

- Write high-quality, optimized SQL queries, stored procedures, and data processing logic.

- Ensure data quality, reliability, scalability, and performance across data platforms.

- Automate data processing and operational tasks through Python-based frameworks and scripting.

- Participate in database design, data modeling, data integration, and optimization initiatives.

Technical Leadership & Project Ownership

- Own and drive assigned workstreams from design through implementation and production deployment.

- Collaborate with business users, product owners, architects, and cross-functional teams to translate business requirements into technical solutions.

- Provide technical guidance to team members and contribute to solution design discussions.

- Assist in project planning, effort estimation, prioritization, risk identification, and status tracking.

- Ensure adherence to coding standards, best practices, and development lifecycle processes.

- Support production issues, root cause analysis,



and continuous improvement initiatives.

Innovation & AI Enablement

- Leverage AI-powered development tools and modern engineering practices to improve development efficiency.

- Explore and implement AI-driven solutions for business and operational challenges where applicable.

Must Have Skills & Experience

- Strong hands-on experience in PySpark development and distributed data processing.

- Extensive experience working with Databricksfor data engineering and analytics workloads.

- Strong expertise in Python programming.

- Advanced SQL skills with experience in query optimization and performance tuning.

- Experience building and maintaining enterprise-scale ETL/ELT data pipelines.

- Strong understanding of Data Lake, Lakehouse, and modern data engineering architectures.

- Experience with relational databases and data modeling concepts.

- Knowledge of Agile/Scrum development methodologies.

- Excellent problem-solving and analytical skills.

- Strong stakeholder management and communication abilities.

Good To Have Skills (Pref)

- Experience with Snowflake .

- Knowledge of Spark optimization and performance tuning.

- Experience with Kafka or event-driven data architectures.

- Exposure to cloud platforms such as Azure, AWS, or GCP.

- Experience with DevOps/CI-CD pipelines.

- Knowledge of AI-powered development and productivity tools.

- Familiarity with investment banking, capital markets, or financial services data domains.

Pref Experience:

- 8+ years of overall software/data engineering experience.

- Hands - on experience with PySpark and Databricks .

- Experience leading modules, workstreams, or small projects while remaining hands-on technically.

- Proven ability to work effectively with globally distributed teams and stakeholders.

- Experience mentoring junior engineers and contributing to technical decision - making.

Wissen Sites:

- Website: www.wissen.com

- LinkedIn: https://www.linkedin.com/company/wissen - technology

- Wissen Leadership: Leadership Team Wissen

- Wissen Live: https://www.linkedin.com/company/wissen - technology/posts/feedView=All

- Wissen Thought Leadership: https://www.wissen.com/articles/

📌 Data Engineer Lead (Bengaluru)
🏢 wissen technology
📍 Bengaluru