Snowflake ,Azure Databricks - Senior Associate Senior Associate

A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.

At PwC - AC, as an AWS Senior Developer, the candidate will interact with Offshore Manager/ Onsite Business Analyst to understand the requirements and the candidate is responsible for end-to-end implementation of Cloud data engineering solutions like Enterprise Data Lake, Data hub in AWS. The candidate should have strong experience in AWS cloud technology. Strong in planning and organization skills. Ability to work as cloud developer/lead on an agile team and provide automated cloud solutions.

Years of Experience: Candidates with 4-8 years of hands-on experience

Position Requirements

Must Have:

• Proficient with Azure Data Services, Databricks, and Snowflake.
• Experience with deep understanding in both traditional and modern data architecture and processing concepts including relational databases (e.g., SQL Server, MySQL, PostgreSQL), Data warehousing, big data, NoSQL and business analytics
• Rich experience working in Azure ADLS, Data Bricks, Data Flows, HDInsight, Azure Analysis services
• Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe,ETL data Pipelines, Big Data model techniques using
  
  

Python / Java

• Experience in building stream-processing systems, using solutions such as Storm or Spark-Streaming
• Design and implement scalable ETL/ELT pipelines using Databricks and Apache Spark
• Optimize data workflows and ensure efficient data processing
• Understanding of big data use-cases and Lambda/Kappa design patterns
• Knowledge of real time/stream analytics trends.
• Architecture, design, implementation, and/or support of complex application architectures (i.e. having an architectural sense for connecting data sources, data visualization, structured and unstructured data, etc.)
• Demonstrable hands-on experience implementing Big Data solutions using Microsoft Data Platform and Azure Data Services
  
  

Azure SQL DB, Azure Synapse Analytics, Azure HD Insight, Azure Data Lake Storage, Azure Data Lake Analytics, Azure Machine Learning, Stream Analytics, Azure Data Factory, Azure CosmosDB and Power BI

• Exposure to Open-Source technologies such as Apache Spark, Hadoop, NoSQL, Kafka, Solr/Elastic Search
• Drive adoption and rollout of Power BI dashboards, standardizing reporting and enabling self-service BI capabilities for finance stakeholders.
• Should be well versed with quality processes and implementation
• Good knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit
• Guide the assessment and implementation of finance data marketplaces, ensuring seamless integration across business units
• Good communication and presentation skills
  
  

Desired Knowledge / Skills

• Experience in building stream-processing systems, using solutions such as Storm or Spark-Streaming
• Experience in Big Data ML toolkits, such as Mahout, SparkML, or H2O
• Knowledge in Python
• Certification on AWS Architecture desirable
• Worked in Offshore / Onsite Engagements
• Experience in AWS services like STEP & Lambda
• Good Project Management skills with consulting experience in Complex Program Delivery
• Good to have knowledge in Cloud - AWS, GCP, Informatica-Cloud, Oracle-Cloud, Cloud DW - Snowflake & DBT
  
  

Professional And Educational Background

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA
  
  

Additional Information

• Travel Requirements: Travel to client locations may be required as per project requirements.
• Line of Service: Advisory
• Horizontal: Technology Consulting
• Designation: Senior Associate
• Location: Anywhere in India
• Good analytical & problem-solving skills
• Good communication and presentation skills