01Requirements
Must Have:
- Experience in architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions
- Robust expertise in the end-to-end implementation of Cloud data engineering solutions like Enterprise Data Lake, Data hub in AWS
- Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe,ETL data Pipelines, Big Data model techniques using
Python / Java
- Experience in loading disparate data sets and translating complex functional and technical requirements into detailed design
- Should be aware of deploying Snowflake features such as data sharing, events and lake-house patterns
- Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modeling)
- 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 Sagemaker 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
- Experience in one of the flow tools like Airflow, Nifi or Luigi
- 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
- Strong understanding of Cloud data migration processes, methods and project lifecycle
- Good analytical & problem-solving skills
- Good communication and presentation skills
Desired Knowledge / 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
Professional and Educational Background:
- BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA
Additional Information:
- Travel
