Job Description :
Job Title : Cloud Engineer 2 (35 Years Experience)
Location : Bangalore / Chennai
Work Mode : Hybrid
Role Type : Permanent (Talpro)
Notice Period : Immediate
Mandatory Skills :
- AWS Services : EMR, S3, IAM, KMS
- Spark : Basic understanding and hands-on experience
- Python : Core concepts, functions, lambda expressions, map / filter / reduce, flatMap, list / array handling, groupBy, aggregate, reduceByKey
- Oracle : Basic query tuning and performance optimization (e.g., using hints for large datasets)
Secondary or Good to Have Skills :
Experience working in a data engineering or data pipeline environmentFamiliarity with CI / CD pipelines and version control (Git)Exposure to big data ecosystems beyond Spark (e.g., Hive, Presto, or Redshift)Understanding of data security practices on AWSYears of Experience : 3 to 5 Years
Job Summary :
We are looking for a Cloud Engineer with 35 years of experience to join our team and support cloud-based data processing environments.
The ideal candidate will have strong exposure to AWS services (especially EMR), basic knowledge of Spark and Python programming, and a working understanding of Oracle query optimization.
You will be responsible for developing, managing, and optimizing data workflows on AWS cloud infrastructure.
Key Responsibilities :
Design and manage cloud-based data processing solutions using AWS EMR, S3, and IAM.Write and debug basic Spark jobs for data transformation and analysis.Develop and maintain Python scripts for data processing using functional programming constructs (map, filter, reduce, etc.)Optimize Oracle queries for large data volumes using best practices and hints.Collaborate with cross-functional teams to ensure secure, scalable, and efficient data workflows.Monitor and troubleshoot performance issues in data processing pipelinesSoft Skills :
Strong problem-solving skills and attention to detailEffective communication and collaboration skillsWillingness to learn and adapt in a fast-paced environment(ref : hirist.tech)