About the Company

Location: Bangalore

WorkMode: Hybrid

Experience: 7–10 years

Job Type: Full-time

About the Role

We’re looking for seasoned data engineers who can take end-to-end ownership of complex data engineering engagements—right from architecture and design to development and delivery. You’ll work with client stakeholders, lead data initiatives, and guide teams in building up-to-date, scalable data platforms that support business intelligence, advanced analytics, and AI/ML applications.

Responsibilities

- Lead the design and implementation of scalable, secure, and high-performance data architectures.
- Architect and optimise data pipelines for batch and real-time processing across varied source systems.
- Model and implement enterprise-grade data lakes, lakehouses, and warehouses to support analytical workloads.
- Collaborate with client teams and internal stakeholders to define data strategies, tooling, and standards.
- Set up and enforce best practices around code quality, pipeline observability, testing, and CI/CD.
- Guide technical decision-making and mentor junior/mid-level engineers.
- Troubleshoot complex data issues and provide architectural solutions across heterogeneous systems.

Qualifications

- Strong expertise in Python and advanced proficiency in SQL.
- Hands-on experience with Databricks.




- Deep understanding of data engineering architecture: ETL/ELT pipelines, data modeling (dimensional and normalised), warehousing, streaming systems, and data integration patterns.
- Proven experience with distributed data processing frameworks (e.g., Apache Spark, Flink).
- Proficient with orchestration tools like Airflow or similar, and production-grade data workflows.
- Solid grounding in cloud-native data services (compute, storage, IAM, monitoring).
- Experience leading technical implementations and collaborating with business stakeholders.

Required Skills

- Multi-cloud experience (AWS preferred; GCP or Azure familiarity is valued).
- Hands-on experience with Databricks, dbt, and collaborative data development environments.
- Awareness of data governance, security, lineage, and quality frameworks.
- Certifications such as AWS Certified Data Analytics, Databricks Certified Data Engineer Professional, or equivalent.

Preferred Skills

- Strong leadership, ownership, and client communication skills.
- Ability to balance hands-on contributions with technical guidance.
- Adaptability to new tools, tech stacks, and problem domains.
- Willingness to travel within India for short/medium-term client assignments.

Kindly drop your resume ([email protected] OR [email protected])

📌 Senior Data Engineer (Bengaluru)
🏢 CoffeeBeans
📍 Bengaluru