CLOUD ENGINEER

Roles & Responsibilities

Role and Responsibilities

Design, develop, and optimize ETL / ELT pipelines using Databricks (PySpark, Spark SQL, Delta Lake).

Collaborate with data architects and business teams to ensure

data models support analytics and reporting requirements.

Manage and monitor Databricks clusters, jobs, and workflows

for performance and cost optimization.

Integrate Databricks with cloud platforms (e.g., Azure Data

Lake, AWS S3, Synapse, Redshift, Snowflake, etc.).

Requirements / Qualifications

Hands-on experience with Databricks and Apache Spark.

Strong proficiency in Python (PySpark), SQL, and Spark SQL.

Experience with cloud data platforms (Azure, AWS, or GCP).

Familiarity with Delta Lake, Parquet, and data lakehouse

architecture.

Experience in version control (Git) and DevOps practices (CI / CD).

Understanding of data modeling, data warehousing, and ETL best practices.

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no : R1443178)

HP : +65 92333815

Recruitment Manager

Helius Technologies Pte Ltd (EA Licence No : 11C3373)

https : / / www.linkedin.com / in / vijay-karanam-68462131 /

Tell employers what skills you have

PySpark

Apache Spark

Kubernetes

Azure

Data Modeling

DevOps

Pipelines

Architects

Scripting

ETL

Databricks

SQL

Python

Docker

S3

Data Warehousing

Linux