Python
Amazon Web Services (AWS)We are looking for experienced Data Engineers who can independently build, optimize, and manage scalable data pipelines and platforms.
In this role, you’ll:
- Work closely with clients and internal teams to deliver robust data solutions powering analytics, AI/ML, and operational systems.
- Mentor junior engineers and bring engineering discipline into our data engagements.
Key Responsibilities
- Design, build, and optimize large-scale, distributed data pipelines for both batch and streaming use cases.
- Implement scalable data models, warehouses/lakehouses, and data lakes to support analytics and decision-making.
- Collaborate with stakeholders to translate business requirements into technical solutions.
- Drive performance tuning, monitoring, and reliability of data pipelines.
- Write clean, modular, production-ready code with proper documentation and testing.
- Contribute to architectural discussions, tool evaluations, and platform setup.
- Mentor junior engineers and participate in code/design reviews.
Must-Have Skills
- Strong programming skills in Python and advanced SQL expertise.
- Deep understanding of ETL/ELT, data modeling (OLTP & OLAP), warehousing, and stream processing.
- Hands-on with distributed data processing frameworks (Apache Spark, Flink, or similar).
- Experience with orchestration tools like Airflow (or similar).
- Familiarity with CI/CD pipelines and Git.
- Ability to debug, optimize, and scale data pipelines in production.
Good to Have
- Experience with cloud platforms (AWS preferred; GCP/Azure also welcome).
- Exposure to Databricks, dbt, or similar platforms.
- Understanding of data governance, quality frameworks, and observability.
- Certifications (e.g., AWS Data Analytics, Solutions Architect, or Databricks).
Other Expectations
- Comfortable working in fast-paced, client-facing environments.
- Strong analytical and problem-solving skills with 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
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
JavaCandid 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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Follow CutshortShubham Vishwakarma
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