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Data Engineer (Snowflake/Databricks) -Specialist-Operate
1-5 years
₹ 6 - 23.2583L/yr (AmbitionBox estimate)
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 (Snowflake/Databricks) -Specialist-Operate
PwC
posted 17d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
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)
We are looking for skilled AWS and Snowflake Production Support Specialists to join our dynamic IT team. In these roles, you will be responsible for ensuring the availability, performance, and security of our AWS cloud infrastructure and Snowflake data platform. You will play a critical role in monitoring, troubleshooting, and resolving incidents to minimize downtime and support our business operations.
Responsibilities
Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas
- Should have minimum 1 year of hand on experience building advanced Data warehousing solutions on leading cloud platforms.
- Should have minimum 1year 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 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 Informatica, Talend, SSIS, AWS, Azure, Spark, SQL, Python etc.
- Should have Handson experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc.
- Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
- Work together with data scientists and analysts to understand the needs for data and create effective data workflows.
- Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
- Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations.
- Perform data transformation and processing tasks to prepare the data for analysis and reporting in Azure Databricks or Azure Synapse Analytics for largescale data transformations using tools like Apache Spark.
- 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
- Azure certification
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required 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 descriptionPwC Interview Questions & Tips
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Top PwC Data Engineer Interview Questions
Q1. What is data flow? Difference with ADF pipeline and data flow
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Q2. What is the difference between reparation and coalesce? What is the difference between persist and cache?
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Q3. What is afd? build dynamic pipeline spark arcticture sql data flow
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People are getting interviews at PwC through
People are getting interviews through
(based on 883 PwC interviews)
Campus Placement
Job Portal
Referral
Company Website
Recruitment Consultant
Walkin
29%
28%
16%
6%
2%
1%
18% candidates got the interview through other sources.
High
Confidence
?
High Confidence means the data is based on a large number of responses received from the candidates.
What people at PwC are saying
Rating based on 18 Data Engineer
reviews
Anonymous · Data Science & Machine Learning
in Kolkata
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.
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.
Read 18 reviewsData Engineer salary at PwC
reported by
237
employees
with 1-6
years exp.
₹4.7
L/yr - ₹19.1
L/yr
7%
more
than the average Data Engineer Salary in India
View more details
What PwC employees are saying about work life
based on 8.6k employees
Flexible timing
Monday to Friday
No travel
Day Shift
PwC Benefits
Submitted by Company
Staff discounts Professional Memberships In-house learning tools Referral Bonuses Corporate Plan
Submitted by Employees
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PwC Bangalore / Bengaluru Office Locations
Bengaluru Office
PricewaterhouseCoopers Pvt Ltd, The Millenia, Tower D , # 1 & 2 Murphy Road, Ulsoor
Bengaluru
Karnataka 560008
Karnataka 560008
Bengaluru Office
Price waterhouse Coopers, Embassy Golf Links Road, Embassy Golf Links Business Park, Challaghatta
Bengaluru
Karnataka 560071
Karnataka 560071
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