Data Engineer-AWS Snowflake -Manager
Data Engineer-AWS Snowflake -Manager
Posted on :
08-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
ManagerJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decisionmaking and driving business growth.In data engineering at PwC you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines data integration and data transformation solutions.
Years of Experience: Candidates with 8 years of handson experience
Position Requirements:
Must Have:
- Experience in architecting and delivering highly scalable distributed cloudbased enterprise data solutions
- Strong expertise in endtoend implementation of Cloud data engineering solutions like Enterprise Data lake Data hub in AWS
- Proficient in Lambda and Kappa Architectures
- Strong AWS handson 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/ TelecommunicationMedia and Technology /Deal advisory along with technical expertise
- Experience in leading technical teams guiding and mentoring team members
- Good analytical & problemsolving skills
- Good communication and presentation skills
- Good understanding of Data Modeling and Data Architecture
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
Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Hadoop Azure Data Factory Coaching and Feedback Communication Creativity Data Anonymization Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling Data Pipeline Data Quality Data Transformation 23 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
0Available for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
