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1997 PwC Jobs

Data Engineer (AWS)-Data, & Analytics aaS Associate - Operate

1-3 years

₹ 5 - 20L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Bangalore / Bengaluru

1 vacancy

Data Engineer (AWS)-Data, & Analytics aaS Associate - Operate

PwC

posted 17d ago

Job Description

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions

These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf

They are skilled in project management, technology, and process optimization to deliver highquality services to clients



Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk

Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services

Driven by curiosity, you are a reliable, contributing member of a team

In our fastpaced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope

Every experience is an opportunity to learn and grow

You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team

As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to
  • Apply a learning mindset and take ownership for your own development

  • Appreciate diverse perspectives, needs, and feelings of others

  • Adopt habits to sustain high performance and develop your potential

  • Actively listen, ask questions to check understanding, and clearly express ideas

  • Seek, reflect, act on, and give feedback

  • Gather information from a range of sources to analyse facts and discern patterns

  • Commit to understanding how the business works and building commercial awareness

  • Learn and apply professional and technical standards (e

    g

    refer to specific PwC tax and audit guidance), uphold the Firms code of conduct and independence requirements

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) *
Bachelors 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 1 year of experience
Certification(s) Preferred
Preferred Skills (PQs)
Position Requirements
Required 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 2 years hand on experience building advanced Data warehousing solutions on leading cloud platforms

  • Should have minimum 13 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 modelling, 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, Snoflake , 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 costeffectiveness 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 Handson 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
Accepting Feedback, Accepting Feedback, Active Listening, Automation, Automation Framework Design and Development, Automation Solutions, Budgetary Management, Business Process Automation (BPA), Business Process Improvement, Business Process Outsourcing, Business Transformation, Communication, Continuous Process Improvement, Data Quality Automation, Deliverable Planning, Delivery Excellence, Design Automation, Digital Transformation, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Managed Services, Operational Excellence, Operational Performance Management (OPM) {+ 19 more}
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?

Employment Type: Full Time, Permanent

Read full job description

PwC Interview Questions & Tips

Prepare for PwC Data Engineer roles with real interview advice

Top PwC Data Engineer Interview Questions

Q1. What is data flow? Difference with ADF pipeline and data flow
Q2. What is the difference between reparation and coalesce? What is the difference between persist and cache?
Q3. What is afd? build dynamic pipeline spark arcticture sql data flow
View all 20 questions

What people at PwC are saying

3.4
 Rating based on 18 Data Engineer reviews

Likes

Pro: 1. Excellent team culture, always appreciative and friendly environment 2. Flexible work hours. No strict timings. 3. Hybrid mode of work. 2-3 days in office / week.

  • Skill development - Excellent
    +3 more
Dislikes

Cons: 1. Poor appraisals and promotions 2. Too much approvals and MBA controlled, no freedom to explore as a technical person. 3. People have almost zero technical knowledge. Specially the mid level.

  • Promotions - Poor
Read 18 Data Engineer reviews

Data Engineer salary at PwC

reported by 241 employees with 1-6 years exp.
₹4.7 L/yr - ₹19 L/yr
6% more than the average Data Engineer Salary in India
View more details

What PwC employees are saying about work life

based on 8.7k employees
75%
88%
58%
88%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

PwC Benefits

Submitted by Company
Staff discounts
Professional Memberships
In-house learning tools
Referral Bonuses
Corporate Plan
Buy more leave! +7 more
Submitted by Employees
Work From Home
Health Insurance
Cafeteria
Job Training
Soft Skill Training
Free Transport +6 more
View more benefits

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