Technical Lead- Bigdata

Tech Lead Data  Engineering

Job description:

• Lead the architecture, design, and technical implementation of large‑scale Big Data platforms and data‑driven products.
• Own and be accountable for all technical deliverables, ensuring high performance, scalability, reliability, and security of data solutions.
• Drive automation, optimization, and innovation across data ingestion, processing, storage, and analytics pipelines.
• Mentor, coach, and guide Big Data engineers, fostering strong engineering practices and continuous learning.
• Define and enforce coding standards, data engineering best practices, and architectural guidelines across the entire Big Data technology stack.
• Actively contribute to code reviews, design discussions, and architecture reviews to improve team efficiency, quality, and system robustness.
• Ensure Big Data solutions are delivered in alignment with client expectations, business requirements, SLAs, and timelines.
• Collaborate closely with product owners, data scientists, analytics teams, and stakeholders to translate business needs into scalable data architectures.
• Promote a culture of innovation, encouraging experimentation with new Big Data technologies, cloud services, and emerging data engineering patterns.
• Identify performance bottlenecks and lead efforts to optimize data pipelines, processing frameworks, and storage layers.
• Ensure adherence to data governance, security, and compliance standards across all Big Data solutions.

• Proven experience working with Agile delivery methodologies, with the ability to adapt Big Data solutions to diverse project execution models.
• Demonstrated strong domain expertise and deep technical knowledge in Big Data engineering, data processing frameworks, and distributed systems.
• Excellent analytical, critical thinking, and problem‑solving skills, with the ability to handle complex data challenges at scale.
• Highly self‑driven with a proven track record of collaborating effectively across cross‑functional teams including product, analytics, data science, DevOps, and business stakeholders.
• Strong communication, negotiation, and presentation skills, enabling clear articulation of technical concepts to both technical and non‑technical audiences.
• Hands‑on exposure to multiple Operating Systems (Linux/Unix/Windows) with proven expertise in scripting and automation (e.g., Shell, Python).
• Ability to think strategically and critically, with demonstrated experience in successfully designing and delivering large‑scale, global Big Data projects.
• Capable of driving technical decision‑making while balancing performance, scalability, cost, and maintainability.

Minimum experience 7 Years

“We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”.

A 100% owned subsidiary of European banking and financial services major Societe Generale (SG), Societe Generale Global Solution Centre (SG GSC) came into existence in 2000. Established as an offshore development centre in Bangalore, also having a presence in Chennai, SG GSC has 15 years of sustainable delivery expertise to its credit, and develops global best practices to promote the strategic objectives of the Societe Generale Group.

SG GSC possesses in-depth understanding of the business processes and cutting-edge technologies across domains of Societe Generale’s diverse portfolio. We deliver best-in-class solutions to the Group’s entities in the realm of corporate and investment banking, retail banking, specialized financing and insurance, private banking, and global investment management and services.

We place the highest importance on our employees and provide extensive opportunities for career progression and development. SG GSC conforms to the group diversity principles, and has a multi-cultural staff representing seven nationalities, and speaking 20 languages. Women comprise 25% of our workforce.