
Cloud Data Engineer Position
2 days ago
We are seeking a skilled Cloud Data Engineer to design and implement end-to-end cloud data engineering solutions in AWS.
- To succeed, you will require:
- Experience in architecting highly scalable distributed cloud-based enterprise data solutions
- Strong expertise in implementing Cloud data engineering solutions like Enterprise Data lake, Data hub in AWS
- Proficiency in Lambda or Kappa Architectures
- Familiarity with Data Management concepts and Data Modelling
- Strong AWS hands-on expertise with a programming background preferably Python/Scala
- 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
- Experience with 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
- 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
- Understanding of Cloud data migration processes, methods and project lifecycle
PREFERRED SKILLS / QUALIFICATIONS:
- Experience building stream-processing systems using Storm or Spark-Streaming
- Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
- Python knowledge
- Offshore or onsite engagement experience
- One of flow tools experience, such as Airflow, Nifi or Luigi
- AWS STEP & Lambda services experience
CERTIFICATION: AWS certified Data Engineer is highly recommended.
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