Sr. Software Engineer Database
bebo Technologies (company site, opens in a new tab)6–8 yrsChandigarhOn-siteDirect career pageEst. 12–20 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement scalable data platforms using Data Lake, Lakehouse, Data Mesh architectures, and modern cloud-native technologies.
- Build and optimize batch and real-time data pipelines leveraging Databricks, Apache Spark, Kafka/Kinesis, and cloud services like AWS.
- Develop Python-based microservices and RESTful APIs for secure, efficient data sharing and operationalize data quality, monitoring, and observability across pipelines.
Minimum Requirements
- 6–8 years of experience in Data Engineering or related roles.
- Strong proficiency in Python, PySpark, and SQL.
- Hands-on experience with Databricks, Apache Spark, Apache Airflow or Databricks Workflows, streaming technologies (Kafka/AWS Kinesis), and AWS cloud services (S3, Glue, Athena, Redshift).
- Experience with Infrastructure as Code (Terraform), containerization (Docker), and implementing data quality and monitoring solutions.
Ideal Candidate Profile
- Experienced in designing and managing large-scale data architectures including Data Lakehouse and Data Mesh with operational knowledge of modern ETL/ELT frameworks.
- Proficient in developing scalable, production-grade data pipelines and APIs using Python and Spark in cloud environments, emphasizing data security and reliability.
- Comfortable working in a DevOps-driven environment with IaC, CI/CD, and monitoring practices, enabling robust data platform delivery and maintenance.