- Job Title: Cloud Engineer 2 3 5 Years Experience)
- Location: Bangalore / Chennai
- Work Mode: Hybrid
- Role Type: Permanent (Talpro)
- CTC Offered: 10 LPA
- Notice Period: Immediate
Mandatory Skills:
AWS Services: EMR S3 IAM KMS
- Spark: Basic understanding and handson 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 AWS
Years of Experience: 3 to 5 Years
- Job Summary:
We are looking for a Cloud Engineer with 3 5 years of experience to join our team and support cloudbased 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 cloudbased 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 crossfunctional teams to ensure secure scalable and efficient data workflows.
- Monitor and troubleshoot performance issues in data processing pipelines
Soft Skills:
- Strong problemsolving skills and attention to detail
- Effective communication and collaboration skills
- Willingness to learn and adapt in a fastpaced environment
AWS