Data Engineer Coffeebeans Technologies

About Coffeebeans Technologies

Job Description

Experience: 4 6 Years
Location: Bangalore ( Hybrid)
Shift :Night Shift
Employment Type: Full-time
About the Role:
We are seeking a skilled and motivated Analytics Engineer with 46 years of experience to join our data team in Bangalore
The ideal candidate will possess a strong mix of data engineering, analytics, and stakeholder collaboration skills
You will play a key role in designing scalable data solutions and enabling data-driven decision-making across the organization

Key Responsibilities:
Collaborate with business and technical stakeholders to gather requirements and deliver analytics solutions

Design and implement scalable data models using star schema and dimensional modeling approaches

Develop and optimize ETL pipelines using Apache Spark for both batch and real-time processing(experience with Apache Pulsar is preferred)

Write efficient, production-grade Python scripts and advanced SQL queries for data transformation and analysis

Manage workflows and ensure data pipeline reliability using tools like Airflow, DBT, or similar orchestration frameworks

Implement best practices in data quality, testing, and observability across all data layers

Work with cloud-native data lakes/warehouses such as Redshift, BigQuery, Cassandra, and cloud storage platforms (S3, Azure Blob, GCS)

Leverage relational databases such as PostgreSQL/MySQL for operational data tasks

Nice to Have:
Exposure to containerization technologies like Docker and Kubernetes for scalable deployment

Experience working in cloud-native analytics ecosystems

Required Skills:
Strong experience in data modeling, ETL development, and data warehouse design

Proven expertise in Python and SQL

Hands-on experience with Apache Spark (ETL tuning), Airflow, DBT, or similar tools

Practical knowledge of data quality frameworks, monitoring, and data observability

Familiarity with both batch and streaming data architectures

What We Offer:
Opportunity to work on cutting-edge data platforms
Collaborative and inclusive team culture
Competitive salary and benefits
Career growth in the modern data engineering space