INManagerAzure Data EngineerData&AnalyticsAdvisoryMumbai
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Job Location:
Navi Mumbai - India
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
ManagerJob Description & Summary
At PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In data analysis at PwC you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation visualisation and statistical modelling to support clients in solving complex business problems.
Why PWC
At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach other. Learn more about us.
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 firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Job Description:
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities including business intelligence data management and data assurance that help our clients drive innovation growth and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data understand and navigate risk and help our clients gain a competitive edge.
Responsibilities:
Designs implements and maintains reliable and scalable data infrastructure Writes deploys and maintains software to build integrate manage maintain and quality-assure data Develops and delivers large-scale data ingestion data processing and data transformation projects on the Azure cloud Mentors and shares knowledge with the team to provide design reviews discussions and prototypes Works with customers to deploy manage and audit standard processes for cloud products Adheres to and advocates for software & data engineering standard processes (e.g. Data Engineering pipelines unit testing monitoring alerting source control code review & documentation) Deploys secure and well-tested software that meets privacy and compliance requirements; develops maintains and improves CI / CD pipeline Service reliability and following site-reliability engineering standard processes: on-call rotations for services they maintain responsible for defining and maintaining SLAs. Designs builds deploys and maintains infrastructure as code. Containerizes server deployments. Part of a cross-disciplinary team working closely with other data engineers Architects software engineers data scientists data managers and business partners in a Scrum/Agile setup Job Requirements: Education : Bachelor or higher degree in computer science Engineering Information Systems or other quantitative fields Experience : 1) Years of experience: 6 to 9 years relevant experience 2) Deep and hands-on experience building productionizing maintaining and documenting reliable and scalable data infrastructure and data products in complex environments 3) Hands on experience with: a) Spark for data processing (batch and/or real-time) - must b) Configuring Delta Lake on Azure Databricks good to have c) Languages: SQL pyspark python - must d) Cloud platforms: Azure - must
e) Azure Data Factory (must) Azure Data Lake (must) Azure SQL DB (must) Synapse (must) SQL Pools (must) Databricks (good to have) f) Building data solutions in Azure incl. data distributions and partitions scalability cost-management disaster recovery and high availability g) Azure Devops (or similar tools) for source control & building CI/CD pipelines good to have 4) Experience in implementing large-scale distributed systems 5) Customer management and front-ending and ability to lead large organizations through influence Desirable Criteria : Strong customer management- own the delivery for Data track with customer stakeholders Continuous learning and improvement attitude Key Behaviors : Empathetic: Cares about our people our community and our planet Curious: Seeks to explore and excel Creative: Imagines the extraordinary Inclusive: Brings out the best in each other
Mandatory skill sets:
Must have knowledge skills and experiences Synapse ADF spark SQL pyspark spark-SQL
Preferred skill sets:
Good to have knowledge skills and experiences Cosmos DB Data modeling Databricks PowerBI experience of having built analytics solution with SAP as data source for ingestion pipelines. Depth: Candidate should have in-depth hands-on experience w.r.t end to end solution designing in Azure data lake ADF pipeline development and debugging various file formats Synapse and Databricks with excellent coding skills in PySpark and SQL with logic building capabilities. He/she should have sound knowledge of optimizing workloads.
Years of experience required:
5 to 10 years relevant experience
Education qualification:
BE ME MTech MBA MCA (60% above) o Expected Joining: 3 weeks
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
Microsoft AzureOptional Skills
Accepting Feedback Accepting Feedback Active Listening Algorithm Development Alteryx (Automation Platform) Analytical Thinking Analytic Research Big Data Business Data Analytics Coaching and Feedback Communication Complex Data Analysis Conducting Research Creativity Customer Analysis Customer Needs Analysis Dashboard Creation Data Analysis Data Analysis Software Data Collection Data-Driven Insights Data Integration Data Integrity Data Mining Data Modeling 43 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Manager
Key Skills
About Company
At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more
