Line of Service Advisory Industry Sector Not Applicable Specialism Data Analytics AI Management Level Senior Associate Summary At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth In data engineering at PwC you will focus on designing and building data infrastructure and systems to enable productive data processing and analysis You will be responsible for developing and implementing data pipelines data integration and data transformation solutions Why PWC At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities This purpose-led and values-driven work powered by technology in an environment that drives innovation will enable you to make a tangible impact in the real world We reward your contributions support your wellbeing and offer inclusive benefits flexibility programmes and mentorship that will help you thrive in work and life Together we grow learn care collaborate and create a future of infinite experiences for each other Learn more At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth To enable this we have zero tolerance for any discrimination and harassment based on the above considerations Summary A career within PWC Responsibilities Cloud Data Engineer AWS Azure Databricks GCP Experience 3-8 years in Data Engineering We are seeking skilled and dynamic Cloud Data Engineers specializing in AWS Azure Databricks and GCP The ideal candidate will have a strong background in data engineering with a focus on data ingestion transformation and warehousing They should also possess excellent knowledge of PySpark or Spark and a proven ability to optimize performance in Spark job executions Key Responsibilities - Design build and maintain scalable data pipelines for a variety of cloud platforms including AWS Azure Databricks and GCP - Implement data ingestion and transformation processes to facilitate efficient data warehousing - Utilize cloud services to enhance data processing capabilities - AWS Glue Athena Lambda Redshift Step Functions DynamoDB SNS - Azure Data Factory Synapse Analytics Functions Cosmos DB Event Grid Logic Apps Service Bus - GCP Dataflow BigQuery DataProc Cloud Functions Bigtable Pub Sub Data Fusion - Optimize Spark job performance to ensure high efficiency and reliability - Stay proactive in learning and implementing new technologies to improve data processing frameworks - Collaborate with cross-functional teams to deliver robust data solutions - Work on Spark Streaming for real-time data processing as necessary Qualifications - 3-8 years of experience in data engineering with a strong focus on cloud environments - Proficiency in PySpark or Spark is mandatory - Proven experience with data ingestion transformation and data warehousing - In-depth knowledge and hands-on experience with cloud services AWS Azure GCP - Demonstrated ability in performance optimization of Spark jobs - Strong problem-solving skills and the ability to work independently as well as in a team - Cloud Certification AWS Azure or GCP is a plus - Familiarity with Spark Streaming is a bonus Mandatory skill sets Python Pyspark SQL with AWS or Azure or GCP Preferred skill sets Python Pyspark SQL with AWS or Azure or GCP Years of experience required 3-8 years Education qualification BE BTECH ME MTECH MBA MCA Education if blank degree and or field of study not specified Degrees Field of Study required Bachelor of Technology Bachelor of Engineering MBA Master of Business Administration Degrees Field of Study preferred Certifications if blank certifications not specified Required Skills Snowflake Platform Optional Skills Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services AWS Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Communication Creativity Data Anonymization Data Architecture Database Administration Database Management System DBMS Database Optimization Database Security Best Practices Databricks Unified Data Analytics Platform Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling Data Pipeline 28 more Desired Languages If blank desired languages not specified Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date

📌 In Senior Associate Snowflake -- Data And Analytics Advisory Bangalore (Bengaluru)
🏢 PwC
📍 Bengaluru