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2649 PwC Jobs

Data Analytics Senior Associate- Data Engineer

3-5 years

₹ 4.8 - 35.4L/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 Analytics Senior Associate- Data Engineer

PwC

posted 3mon ago

Job Description

  • 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.
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 3 year s 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

Employment Type: Full Time, Permanent

Read full job description

PwC Interview Questions & Tips

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Top PwC Senior Associate Interview Questions

Q1. What is Materiality, How to decide Materiality , who decide what will be the level of Materiality ?
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What people at PwC are saying

3.4
 Rating based on 1.5k Senior Associate reviews

Likes

It's soo good in work culture, Trainings and effective leadership. Seniors are too good and approachable all time.

  • Skill development - Excellent
  • +4 more
Dislikes

Salary and promotion cycle. Paid very less compared to other big 4 firms but pressure is equally same.

  • Promotions - Poor
Read 1.5k Senior Associate reviews

Senior Associate salary at PwC

reported by 15.3k employees
₹8 L/yr - ₹30.1 L/yr
91% more than the average Senior Associate Salary in India
View more details

What PwC employees are saying about work life

based on 9.2k 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
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