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Job Description
Please find JD as below.
Work experience: 6+ years
Work location: Pune and Hyderabad
Interview mode: F2F on 26th Nov
About the Role
We are looking for a highly skilled Big Data Engineer with strong experience in cloud platforms (Azure or AWS) and Java as backend. The ideal candidate will be responsible for designing, developing, and optimizing large-scale data processing pipelines and building end-to-end data-driven applications. This is a full stack role, requiring hands-on expertise across data engineering, backend services, and cloud deployment.Key ResponsibilitiesBig Data Engineering
- Design, build, and maintain scalable data pipelines using Spark, Hadoop, Hive, or similar big data technologies.
- Implement data ingestion, ETL/ELT workflows using cloud-native services (Azure Data Factory, AWS Glue, EMR, Databricks, etc.).
- Optimize data workflows for performance, reliability, and cost efficiency.
- Work with structured, semi-structured, and unstructured datasets.
Cloud Engineering (Azure/AWS)
- Work with cloud services such as:
- Azure: Data Lake, Synapse, Data Factory, Databricks, Kubernetes, Functions
- AWS: S3, Glue, EMR, Lambda, Redshift, DynamoDB, Kinesis
- Manage CI/CD pipelines, infrastructure-as-code, and cloud deployment strategies.
Skills
JavaHiveHadoopBig DataAzurePysparkSCALASparkIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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