IN Senior Associate Azure Data Engineer Data and Analytics Advisory Bangalore
Bengaluru Millenia
PwC
We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob Description & Summary
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.Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.*Why PWCAt 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 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 firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Job Description & Summary: 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.
Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.
Responsibilities:
Data Engineer Profile
PWC is looking for hands-on data engineers who can produce beautiful & functional code to solve complex analytics problems. If you are an exceptional developer with an aptitude to learn and implement using new technologies,
and who loves to push the boundaries to solve complex business problems innovatively, then we would like to talk with you.
• Strong interpersonal skills and ability to manage and work with cross-functional teams.
• Being able to perform on multiple levels both as an individual contributor as well as driving initiatives.
• Go-getter attitude with a mindset of thinking innovative
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets involving petabyte and terabyte of data.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Expand and grow data platform capabilities to solve new data problems and challenges
• Apply complex big data concepts with a focus on collecting, parsing, managing, and analyzing large sets of data to turn information into insights
Technical Skill set:-
Must Have
• Extensive experience on big data platforms including Hadoop, Spark, Hive, Presto, Kudu.
• Hands-on experience in design and development of hybrid cloud architecture
• Extensive experience in at least one of the cloud platforms among Azure (Azure Data Factory, Databricks, Sybase Analytics, Azure functions, Azure stream analytics) OR AWS (S3, lambda, glue, Quick sight, EMR,EC2,Redshift ,Athena and Presto)
• Hands-on experience in developing large scale distributed applications in either java or python programming language
• Hands-on experience in either one of the real time streaming applications- KAFKA OR Azure event hub OR AWS Kinesis
• Advanced SQL programming skills
• Design DWH model, ensuring data design follows the prescribed reference architecture framework while reflecting appropriate business rules built for logical, physical and conceptual model.
• Experience in performance tuning of complex ETL mappings for relational and non-relational workloads
• Well versed with relational and no-Sql databases like MySQL, PostgreSQL, Mongo DB and Cassandra
• Hands-on experience in migration from on-premise systems to cloud.
Good to have
• Hands-on experience on microservice architecture
• Knowledge on spring boot framework
• Knowledge on developing scalable web applications
• Developing distributed applications using cloud platforms.
Mandatory skill sets:
Pyspark, SQL, Databricks
Preferred skill sets:
Pyspark, SQL, Databricks
Years of experience required:
5 - 8
Education qualification:
B.Tech / M.Tech / MBA / MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Android Debug Bridge (ADB), Microsoft AzureOptional Skills
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Athena AWS Azure Big Data Business Intelligence Cassandra Data Analytics Databricks Data management Data pipelines EC2 Engineering ETL Hadoop Java Kafka Kinesis Lambda MySQL Pipelines PostgreSQL PySpark Python Redshift Spark SQL Streaming
Perks/benefits: Career development
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