Snowflake ,Azure Databricks Senior Associate
Snowflake ,Azure Databricks Senior Associate
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Job Description
Industry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob Description & Summary
A career in our Advisory Acceleration Centre is the natural extension of PwCs 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 SnowPipeETL 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 / / MCA / / M.E / / MBA
Additional Information:
Travel Requirements: Travel to client locations may be 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
Travel Requirements
Not SpecifiedJob Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
