Data Engineering(azure) Senior Manager Ani

Year    Bangalore, Karnataka, India

Job Description


Line of Service Advisory

Industry/Sector Not Applicable

Specialism Data, Analytics & AI

Management Level Senior Manager

& Summary At PwC - AC, we are looking for an Azure Senior Manager- Data & AI who will have:
\xe2\x97\x8f Passion for technology, in the space of Analytics
\xe2\x97\x8f Hands-on experience in Cloud Analytics, Data Engineering
\xe2\x97\x8f Hands on experience in building large data repositories in Cloud
\xe2\x97\x8f Hands on experience in designing and implementing large scale transformation programs in Cloud, Enterprise
Data Management
\xe2\x97\x8f Engage with business stakeholders, to understand client requirements and build technical solutions and delivery
plans
\xe2\x97\x8f Demonstrable technical knowledge in skills and streams mentioned in the Technical Skills section
\xe2\x97\x8f Business / domain knowledge along with technical expertise
\xe2\x97\x8f Experience in working with cross functional and geographically separated teams
\xe2\x97\x8f Experience in technical scoping of projects, drawing delivery plans
\xe2\x97\x8f Experience in leading technical teams, guiding and mentoring team members
\xe2\x97\x8f Experience in presenting technical and business executive presentations to leadership
\xe2\x97\x8f Responsible for the design and execution of abstractions and integration patterns (APIs) to solve complex
distributed computing problems.

Years of Experience: 12 - 16 Years

Position Requirements:
Must Have Skills:
\xe2\x97\x8f Proficient with Azure cloud computing including big data technologies.

\xe2\x97\x8f 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
\xe2\x97\x8f Rich experience working in Azure ADLS, Data Bricks, Data Flows, HDInsight, Azure Analysis services
\xe2\x97\x8f Experience in building stream-processing systems, using solutions such as Storm or Spark-Streaming
\xe2\x97\x8f Understanding of big data use-cases and Lambda/Kappa design patterns
\xe2\x97\x8f Knowledge of real time/stream analytics trends.
\xe2\x97\x8f 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.)
\xe2\x97\x8f 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 Cosmos DB and Power BI
\xe2\x97\x8f Exposure to Open Source technologies such as Apache Spark, Hadoop, NoSQL, Kafka, Solr/Elastic Search
\xe2\x97\x8f Should be well versed with quality processes and implementation
\xe2\x97\x8f Excellent communication skills
\xe2\x97\x8f Business / domain knowledge in one of the domains -Financial Services/ Healthcare/ Consumer Market/Industrial
Products/ Telecommunication,Media and Technology /Deal advisory along with technical expertise
\xe2\x97\x8f 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
\xe2\x97\x8f Good understanding of Data Modeling and Data Architecture

Certification:
\xe2\x97\x8f Data Engineering on Microsoft Azure (DP 200/201/203)
\xe2\x97\x8f Azure Solutions Architect Expert (AZ 303/304)

Good to have skills:
\xe2\x97\x8f Cloud - AWS, GCP, Informatica-Cloud, Oracle-Cloud
\xe2\x97\x8f Cloud DW - Snowflake, Databricks
\xe2\x97\x8f Data Engineering - Java, Python, Pyspark, R-Programming
\xe2\x97\x8f Data Integration - Informatica, DataStage, AbInitio
\xe2\x97\x8f Business Intelligence - MicroStrategy, Business Objects, Cognos
\xe2\x97\x8f Data Visualization \xe2\x80\x93 Tableau, Qlik
\xe2\x97\x8f Data Appliance - Teradata, Netezza

Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

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

PwC

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Job Detail

  • Job Id
    JD3112585
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Bangalore, Karnataka, India
  • Education
    Not mentioned
  • Experience
    Year