
We are looking for experienced Data Engineers who can independently build, optimize, and manage scalable data pipelines and data platforms. In this role, you will collaborate with clients and internal teams to deliver robust data solutions that support analytics, AI/ML, and operational systems. You will also mentor junior engineers and bring strong engineering discipline to our data engagements.
Key Responsibilities
- Design, build, and optimize large-scale, distributed batch and streaming data pipelines.
- Implement scalable data models, data warehouses/lakehouses, and data lakes to support analytics and decision-making.
- Work closely with cross-functional stakeholders to translate business requirements into technical data solutions.
- Drive performance tuning, monitoring, and reliability of data pipelines.
- Write clean, modular, production-ready code with proper documentation and testing.
- Contribute to architecture discussions, tool evaluations, and platform setup.
- Mentor junior engineers and participate in code/design reviews.
Must-Have Skills
- Strong programming skills in Python (exp with Java is a good to have).
- Advanced SQL expertise with ability to work on complex queries and optimizations.
- Deep understanding of data engineering concepts such as ETL/ELT, data modeling (OLTP & OLAP), warehousing, and stream processing.
- Experience with distributed processing frameworks like Apache Spark, Flink, or similar.
- Experience with Snowflake (preferred).
- Hands-on experience building pipelines using orchestration tools such as Airflow or similar.
- Familiarity with CI/CD, version control (Git), and modern development practices.
- Ability to debug, optimize, and scale data pipelines in real-world environments.
Good to Have
- Experience with major cloud platforms (AWS preferred; GCP/Azure also welcome).
- Exposure to Databricks, dbt, or similar platforms.
- Understanding of data governance, data quality frameworks, and observability.
- Certifications in AWS (Data Analytics / Solutions Architect) or Databricks.
Other Expectations
- Comfortable working in fast-paced, client-facing environments.
- Strong analytical and problem-solving skills with excellent attention to detail.
- Ability to adapt across tools, stacks, and business domains.
- Willingness to travel within India for short/medium-term client engagements as needed.

About CoffeeBeans
About
CoffeeBeans Consulting is a technology partner dedicated to driving business transformation. With deep expertise in Cloud, Data, MLOPs, AI, Infrastructure services, Application modernization services, Blockchain, and Big Data, we help organizations tackle complex challenges and seize growth opportunities in today’s fast-paced digital landscape. We’re more than just a tech service provider; we're a catalyst for meaningful change
Tech stack
Candid answers by the company
CoffeeBeans Consulting, founded in 2017, is a high-end technology consulting firm that helps businesses build better products and improve delivery quality through a mix of engineering, product, and process expertise. They work across domains to deliver scalable backend systems, data engineering pipelines, and AI-driven solutions, often using modern stacks like Java, Spring Boot, Python, Spark, Snowflake, Azure, and AWS. With a strong focus on clean architecture, performance optimization, and practical problem-solving, CoffeeBeans partners with clients for both internal and external projects—driving meaningful business outcomes through tech excellence.
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