We are seeking a highly skilled Senior Data Engineer / Lead Data Engineer to join our growing Data Engineering team. This role is ideal for professionals who are passionate about building modern cloud-based data platforms and scalable data solutions. The selected candidate will play a key role in designing, developing, and optimizing enterprise-grade data pipelines and data platforms that support analytics, business intelligence, reporting, and AI/ML initiatives.

You will work closely with Data Architects, Analytics teams, Data Scientists, and business stakeholders to deliver reliable, secure, and high-performing data solutions using Databricks and AWS technologies.

Role : Senior Data Engineer / Lead Data Engineer

Location : Bangalore (Hybrid / Onsite)

Experience : 6+ Years

Education : BE/BTech/ME/MTech

Desired Candidate Profile :

- 6+ years of experience in Data Engineering and Big Data technologies.

- Strong hands-on expertise in Databricks, PySpark, and AWS-based data platforms.

- Experience building large-scale enterprise data solutions.

- Strong problem-solving and analytical skills.

- Ability to work closely with cross-functional teams and stakeholders.

- Experience mentoring junior engineers and contributing to technical leadership initiatives.

- Familiarity with Agile/Scrum methodologies.

Key Responsibilities :

- Demonstrated expertise in building large-scale data platforms using Databricks, PySpark, and Apache Spark, with a deep understanding of distributed computing principles.

- Proven ability to design complex data models and implement efficient storage strategies using Delta Lake to support high-concurrency analytical workloads.

- Strong proficiency in Python for data manipulation and automation, coupled with a solid grasp of CI/CD pipelines to streamline software delivery.

- Excellent communication skills with the ability to articulate technical concepts to non-technical

stakeholders and influence cross-functional project outcomes.

Why Join Us?

- Opportunity to work on modern Data Lakehouse architecture.

- Exposure to large-scale enterprise data platforms.

- Collaborative and innovation-driven work environment.

- Opportunity to work on advanced analytics, cloud, and AI-driven initiatives.

Certifications :

Mandatory :

- Databricks Certified Data Engineer Associate

Preferred :

- Databricks Certified Data Engineer Professional