Data Engineer-AWS Snowflake -Manager
Bangalore (SDC) - Bagmane Tech Park
PwC
We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob Description & Summary
A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.Years of Experience: Candidates with 8+ 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 end-to-end implementation of Cloud data engineering solutions like Enterprise Data lake, Data hub in AWS
Proficient in Lambda and Kappa Architectures
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
Strong understanding of DBT ELT Tool, and usage of DBT macros etc
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
Good knowledge in AWS Security and AWS Key management
Strong understanding of Cloud data migration processes, methods and project lifecycle
Business / domain knowledge in one of the domains -Financial Services/ Healthcare/ Consumer Market/Industrial Products/ Telecommunication,Media and Technology /Deal advisory along with technical expertise
Experience in leading technical teams, guiding and mentoring team members
Good analytical & problem-solving skills
Good communication and presentation skills
Good understanding of Data Modeling and Data Architecture
● Good analytical & problem-solving skills
● Good communication and presentation skills
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Desired Languages (If blank, desired languages not specified)
Travel Requirements
0%Available for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Big Data CI/CD dbt DevOps DynamoDB ELT Engineering Git GitLab Hadoop Industrial Jenkins Kinesis Lambda NiFi Python Redshift SageMaker Scala Security Snowflake Spark SQL Streaming
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