FES - FAIR Data Engineer - Associate -Bangalore
Bengaluru (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
Product InnovationManagement Level
AssociateJob Description & Summary
A career in Software and Product Innovation will provide you with the opportunity to deliver innovative solutions that are valuable, usable, and aligned with accomplishing the company's mission. We help build software and design data platforms, manage large volumes of client data, develop compliance procedures for data management, and continually research new technologies to drive innovation and sustainable change. You will manage products through initial launch and follow-on releases, identifying dependencies and clearing blockers.As part of our Software Engineering team, you'll focus on cloud solution engineering and automation, with a focus on applications and data. You understand application and microservice architectures, integration patterns and data engineering aspects using cloud technologies.
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 an authentic and inclusive leader, at all grades/levels and in all lines of service. 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 an 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:
- Invite and provide evidence-based feedback in a timely and constructive manner.
- Share and collaborate effectively with others.
- Work with existing processes/systems whilst making constructive suggestions for improvements.
- Validate data and analysis for accuracy and relevance.
- Follow risk management and compliance procedures.
- Keep up-to-date with technical developments for business area.
- Communicate confidently in a clear, concise and articulate manner - verbally and in written form.
- Seek opportunities to learn about other cultures and other parts of the business across the Network of PwC firms.
- Uphold the firm's code of ethics and business conduct
Job Description: Data Engineer (2 to 4 years)
Responsibilities:
Experience in developing AWS/ Azure based data pipelines and processing of data at scale using latest cloud technologies
Experience in design and development of applications using Python (must have) or Java and in Big Data technologies and tools such as PySpark/Spark, Hadoop, Hive,Kafka etc.
Good understanding of data warehousing concepts and Expert level skills in writing and optimizing SQL.
Experience in low code type development and metadata configuration-based development, e.g., metadata based data ingestion, schema shift detection, event based development, etc.
Develop and unit test the functional aspect of the required data solution leveraging the core frameworks (foundational code framework)
Experience with working in an Agile environment and CI/CD driven testing culture.
Prioritize your work in conjunction with multiple teams as you will be working with different components
Able to setup and take on design tasks if necessary
Deal with incidents in a timely manner coming up with rapid resolution
The ability to keep current with the constantly changing technology industry.
Present to clients with due supervision.
Efficiently manage junior team members
Training, supervision and providing guidance to junior staff.
Various administrative duties, including recruiting
Good To have:
Knowledge of Insurance Industry
Finance and/or Actuarial project experience
Basic knowledge of the financial sector and capital markets.
Proficient in written and spoken English.
Power Point, Word, Excel, MS Access etc.
Performance Skills:
Results oriented and self-starter
Superior attention to detail
Ability to multitask and work under pressure
Good analytical and communication skills
Strong work ethics
Committed and responsible
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
May 14, 2024* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Big Data CI/CD Data management Data pipelines Data Warehousing Engineering Excel Finance Hadoop Java Kafka Pipelines PySpark Python Research Spark SQL Testing
Perks/benefits: Career development Transparency
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