Cloud Solutions Developer

22 hours ago

Vizag, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 20,00,000 - ₹ 25,00,000

About this role

As an AWS Data Engineer, you will be responsible for the end-to-end implementation of cloud data engineering solutions like Enterprise Data lake and Data hub in AWS.

  • This includes architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions using AWS Cloud technology.

You should have strong experience with AWS compute services like EMR, Glue and storage services like S3, Redshift & Dynamodb.

A good understanding of Big Data frameworks and related technologies such as Hadoop and Spark is also required.

Familiarity with application DevOps tools like Git, CI/CD Frameworks, Jenkins or Gitlab with rich experience in source code management is necessary.

Strong analytical & problem-solving skills along with good communication and presentation skills are a must.

In addition, you should have experience working on offshore / onsite engagements and knowledge in Python programming language.

The ideal candidate will have hands-on experience with AWS services such as STEP & Lambda.

We are looking for someone who can work effectively as a cloud developer/lead on an agile team and provide automated cloud solutions.

This role requires 4-8 years of experience in hands-on experience.

The position requirements include:

  • Experience in architecting and delivering highly scalable, distributed, cloud-based enterprise data 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.
  • Should be 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.

Desired Knowledge / Skills include:

  • 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.

Professional and Educational Background:

  • BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA.

Certification:

AWS certified Data Engineer is recommended.

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