Snowflake+Cortex - Senior Associate

At PwC - AC, as an AWS Developer, the candidate will interact with Offshore Manager/ Onsite Business Analyst to understand the requirements and the candidate is responsible for end-to-end implementation of Cloud data engineering solutions like Enterprise Data Lake, Data hub in AWS. 

Years of Experience: Candidates with 4-9 years of hands-on experience 

Position Requirements:  

Must Have: 

• Experience in architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions 

• Strong 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 Requirements: Travel to client locations may be as per project requirements. 

• Line of Service: Advisory 

• Horizontal: Technology Consulting 

• Designation: Associate 

• Location: Bangalore, India