Required Skills & Experience
6–8 years of experience in Data Engineering or related roles.
Solid understanding of modern data architectures such as Data Lake, Lakehouse, Data Mesh, and Data Products.
Strong proficiency in Python, PySpark, and SQL.
Hands-on experience with Databricks, Delta Lake, and/or Snowflake.
Experience with ETL/ELT frameworks and data orchestration tools.
Hands-on experience with Apache Airflow and/or Databricks Workflows.
Practical experience with streaming technologies such as Kafka and/or AWS Kinesis.
Solid understanding of batch processing frameworks and technologies such as Apache Spark, AWS Glue, and dbt.
Proficiency in handling structured, semi-structured, and unstructured data.
Experience with modern data modeling techniques, including Star Schema, Snowflake Schema, and 3NF.
Familiarity with vector databases and data architectures supporting AI/ML use cases.
Hands-on experience with AWS services including S3, Glue, Glue Data Catalog, Athena, and Redshift.
Experience with Infrastructure as Code (IaC) tools such as Terraform.




Experience with containerization technologies such as Docker.
Experience with Git, CI/CD, and DevOps practices.
Experience implementing data quality, monitoring, and observability solutions using relevant tools and frameworks.
Good understanding of cloud security concepts, including IAM, encryption, access control, and data governance.
Robust understanding of Data Lakehouse concepts, architecture, and implementation patterns.
Familiarity with serverless architectures and Python-based serverless data processing solutions.

Pay: ₹1,000,000.00 - ₹2,000,000.00 per year

Benefits:
Versatile schedule
Paid time off
Provident Fund

Ability to commute/relocate:
Chandigarh, Chandigarh (Chandigarh): Reliably commute or planning to relocate before starting work (Preferred)

Experience:
Databases: 6 years (Required)

Work Location: Hybrid remote in Chandigarh, Chandigarh (Chandigarh)

📌 Senior Database Engineer Chandigarh
🏢 Bebo Technologies
📍 Chandigarh