AWS Data Engineering-D&A - Senior
- PwC Service Delivery
- 2 - 7 years
- Hyderabad
- 1 month ago
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Job Description
- A career in our Advisory Acceleration Centre is the natural extension of PwCs 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
- As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution
PwC Professional skills and responsibilities for this management level include but are not limited to:
- Use feedback and reflection to develop self awareness, personal strengths and address development areas.
- Delegate to others to provide stretch opportunities, coaching them to deliver results.
- Demonstrate critical thinking and the ability to bring order to unstructured problems.
- Use a broad range of tools and techniques to extract insights from current industry or sector trends.
- Review your work and that of others for quality, accuracy and relevance.
- Know how and when to use tools available for a given situation and can explain the reasons for this choice.
- Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
- Use straightforward communication, in a structured way, when influencing and connecting with others.
- Able to read situations and modify behavior to build quality relationships.
- Uphold the firms code of ethics and business conduct.
Minimum Degree Required: Bachelors degree in Engineering
Certification(s) Preferred: Amazon Web Services (AWS) certifications (AWS certified Data Engineer is recommended).
Desired Skills
- Minimum 2 years experience in design and development of data pipelines and processing of data at scale using technologies like EMR, Kinesis, Lambda, Glue, Athena, Redshift, Step Functions.
- Experience in design and development of applications using Python (must have) or Java.
- Experience in Big Data technologies and tools such as PySpark/Spark, Hadoop, Hive, Kafka etc
- Experience with building data pipelines in streaming and batch mode.
- Experience in optimizing big data pipelines on AWS.
- Good understanding of data warehousing concepts and Expert level skills in writing and optimizing SQL.
- Experience in development using message queues, stream processing, highly available & fault tolerant applications
- Minimum 1 year of experience in using AWS services like EC2, Cloud IAM, VPC, S3 etc and good understanding of architectural best practices.
- Proficiency in using SDKs for interacting with native AWS services
- Good understanding of big data design patterns and performance tuning
- Experience with Git and CI/CD pipelines to deploy cloud applications
- Experienced in roles conducting requirements gathering, writing user stories, creating application design and using design patterns
- Excellent communication skills with the ability to influence client business and IT teams
- Experience with Agile software development
- Ability to work independently and across multiple teams.
Job Classification
Industry: Accounting / AuditingFunctional Area: Accounting / Auditing
Role Category: Software Development
Role: Data Platform Engineer
Employement Type: Full time
Contact Details:
Company: PwC Service DeliveryLocation(s): Hyderabad
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Keyskills: Performance tuning Leadership development Architecture Product innovation Agile big data AWS SQL Python
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₹ -12 Lacs P.A
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