Senior Cloud Data Specialist

6 days ago

Madurai, Tamil Nadu, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About Data Engineering Role

Job Summary

We are seeking an experienced Cloud Data Engineer to design and implement cloud data engineering solutions using AWS technology.

The ideal candidate will have a strong background in end-to-end implementation of Cloud data engineering solutions like Enterprise Data lake, Data hub in AWS, and expertise in Lambda or Kappa Architectures.

Key Responsibilities:

  • Design and implement scalable cloud data engineering solutions using AWS technology
  • Collaborate with cross-functional teams to understand requirements and develop solutions
  • Ensure seamless integration with existing systems and applications

Required Skills and Qualifications:

  • 4-8 years of experience in designing and implementing cloud data engineering solutions
  • Strong expertise in end-to-end implementation of Cloud data engineering solutions like Enterprise Data lake, Data hub in AWS
  • Proficient in Lambda or Kappa Architectures
  • Aware of Data Management concepts and Data Modelling
  • Strong AWS hands-on expertise with a programming background preferably Python/Scala
  • Good knowledge of Big Data frameworks and related technologies - Experience in Hadoop and Spark is mandatory
  • Strong experience in AWS compute services like AWS EMR, Glue and storage services like S3, Redshift & Dynamodb
  • Good experience with any one of the AWS Streaming Services like AWS Kinesis, AWS SQS and AWS MSK
  • Troubleshooting and Performance tuning experience in Spark framework - Spark core, Sql and Spark Streaming
  • Good knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit
  • Experience with AWS CloudWatch, AWS Cloud Trail, AWS Account Config, AWS Config Rules
  • Good knowledge in AWS Security and AWS Key management
  • Strong understanding of Cloud data migration processes, methods and project lifecycle
  • Good analytical & problem-solving skills
  • Good communication and presentation skills

Preferred Skills:

  • Experience in building stream-processing systems, using solutions such as Storm or Spark-Streaming
  • Experience in Big Data ML toolkits, such as Mahout, SparkML, or H2O
  • Knowledge in Python
  • Worked in Offshore / Onsite Engagements
  • Experience in one of the flow tools like Airflow, Nifi or Luigi
  • Experience in AWS services like STEP & Lambda

Certification:

AWS certified Data Engineer is recommended

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