Data Analytics Senior Associate- Data Engineer (AWS) - Operate

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Associate

Job Description & Summary

A career in our Managed Services team will provide you an opportunity to collaborate with a wide array of teams to help our clients implement and operate new capabilities, achieve operational efficiencies, and harness the power of technology.

Our Managed Data, Analytics & Insights team will provide you with the opportunity to help organizations harness the power of their enterprise data/analytics solutions by optimizing the technology while driving innovation to increase business outcomes and through data insights. We assist our clients in capitalizing on technology improvements, implementing new capabilities and achieving operational insights by managing, maintaining and evolving their analytics platforms and ecosystems. We help our clients maximize the value of their investment focusing on continuous improvement of their analytics solutions such as Microsoft, Amazon Web Services and Google Cloud.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

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 firm's code of ethics and business conduct.

Job Summary -   

A career in our Managed Services team will provide you with an opportunity to collaborate with a wide array of teams to help our clients implement and operate new capabilities, achieve operational efficiencies, and harness the power of technology. Our Data, Testing & Analytics as a Service team brings a unique combination of industry expertise, technology, data management and managed services experience to create sustained outcomes for our clients and improve business performance. We empower companies to transform their approach to analytics and insights while building your skills in exciting new directions. Have a voice at our table to help design, build and operate the next generation of software and services that manage interactions across all aspects of the value chain. 

 

Minimum Degree Required (BQ) *:  

Bachelor's degree  

 

Degree Preferred:   

 

Required Field(s) of Study (BQ):   

 

Preferred Field(s) of Study:  

Computer and Information Science, Management Information Systems 

  

Minimum Year(s) of Experience (BQ) *: US 

 

Minimum of 3 years of experience 

 

Certification(s) Preferred:  

 

  

Required Knowledge/Skills (BQ): 

 

Preferred Knowledge/Skills *:  

 

AWS Cloud Engineer: 

Job description: 

  

Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas:  

• Should have minimum 6 years hand on experience building advanced Data warehousing solutions on leading cloud platforms. 

• Should have minimum 3-5 years of Operate/Managed Services/Production Support Experience  

• Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modeling, Data scientists etc.  

• Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes.  

• Should have experience in building efficient ETL/ELT processes using industry leading tools like AWS, AWS GLUE, AWS Lambda, AWS DMS, PySpark, SQL, Python, DBT, Prefect, Snowflake, etc.  

• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in AWS. 

• Work together with data scientists and analysts to understand the needs for data and create effective data workflows. 

• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. 

• Improve the scalability, efficiency, and cost-effectiveness of data pipelines. 

• Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage.  

• Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data  

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases  

• Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools  

• Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments.  

• Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc.  

• Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc.  

• Should have Strong communication, problem solving, quantitative and analytical abilities. 

Nice to have: 

• AWS certification 

 

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

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

November 22, 2024