Job
Description
Role Overview: As an AWS Snowflake DBT Developer at PWC AC, you will be responsible for architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions. You will work on implementing Cloud data engineering solutions like Enterprise Data Lake and Data hub in AWS. Your role will involve hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, ETL data Pipelines, and Big Data model techniques using Python/Java. Additionally, you will be expected to deploy Snowflake features, ensure data security and access controls, and design relational as well as NoSQL data stores. Key Responsibilities: - Architect and deliver highly scalable, distributed, cloud-based enterprise data solutions - Implement Cloud data engineering solutions like Enterprise Data Lake and Data hub in AWS - Utilize Snowflake utilities, SnowSQL, SnowPipe, and ETL data Pipelines - Translate complex functional and technical requirements into detailed design - Deploy Snowflake features such as data sharing, events, and lake-house patterns - Ensure data security and data access controls - Work with relational and NoSQL data stores, methods, and approaches - Utilize Lambda and Kappa Architectures - Utilize AWS compute services like AWS EMR, Glue, and Sagemaker - Work with storage services like S3, Redshift, and Dynamodb - Utilize AWS Streaming Services like AWS Kinesis, AWS SQS, and AWS MSK - Perform troubleshooting and performance tuning in Spark framework - Experience with flow tools like Airflow, Nifi, or Luigi - Work with Application DevOps tools like Git, CI/CD Frameworks, and Jenkins or Gitlab - Utilize AWS CloudWatch, AWS Cloud Trail, AWS Account Config, and AWS Config Rules - Understand Cloud data migration processes, methods, and project lifecycle - Demonstrate good analytical and problem-solving skills - Exhibit strong communication and presentation skills Qualifications Required: - 4-8 years of experience in AWS Snowflake DBT development - Hands-on experience with AWS, Data bricks, and Snowflake data warehousing - Proficiency in SQL, Snow pipe, SnowSQL, SnowPipe, and Data Build tool - Experience in Hadoop and Spark - Strong expertise in AWS compute and storage services - Knowledge of Big Data frameworks and related technologies - Familiarity with AWS Streaming Services - Experience with troubleshooting and performance tuning in Spark framework - Knowledge of Application DevOps tools - Strong understanding of Cloud data migration processes and methods - Good analytical and problem-solving skills - Excellent communication and presentation skills Kindly share your profiles on dhamma.b.bhawsagar@pwc.com if you are interested in this opportunity.,