Azure Data Engineer - Senior Manager

Bangalore (SDC) - Bagmane Tech Park

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PwC

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Posted 1 month ago

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Product Innovation

Management Level

Senior Manager

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.

As part of our Data Engineering team, you will create data pipelines and data structures utilizing modern data technology, engineering process, and languages. You will be responsible for helping organizations migrate and modernize data platforms in support of enterprise analytics, intelligent applications, and machine learning initiatives.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

Encourage everyone to have a voice and invite opinion from all, including quieter members of the team.
Deal effectively with ambiguous and unstructured problems and situations.
Initiate open and candid coaching conversations at all levels.
Move easily between big picture thinking and managing relevant detail.
Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.
Contribute technical knowledge in area of specialism.
Contribute to an environment where people and technology thrive together to accomplish more than they could apart.
Navigate the complexities of cross-border and/or diverse teams and engagements.
Initiate and lead open conversations with teams, clients and stakeholders to build trust.
Uphold the firm's code of ethics and business conduct.

Data Engineer Senior Manager - Azure

We are seeking a highly skilled and innovative Data Engineer to join our fast-growing dynamic Microsoft Alliance Data team. In this role, you will play a pivotal part in designing, developing, and maintaining data related projects, enabling our client to deploy analytics, advanced analytics and AI models. Your expertise will be crucial in transforming consumable vast datasets into actionable insights, empowering our clients to achieve their business goals.

Meaningful work you’ll be part of

Data Integration: Design and implement processes for data acquisition, storage, transformation, and retrieval from various sources, ensuring data quality and integrity but also seamless integration of large-scale datasets allowing our clients to fully leverage the value of their investment into their Data Lake and alike.

Automation: Develop and implement automated processes for data extraction, transformation, and loading (ETL), reducing manual intervention and enhancing reliability via leading practice on data pipeline orchestration

Leadership & Mentorship: Provide guidance and mentorship to junior data engineers and peers, fostering a culture of continuous learning and development within the team

Security and Compliance: Ensure that data handling practices comply with industry standards and regulations, maintaining the highest levels of data security and privacy.

Collaboration: Work closely with our clients business stakeholder, their data engineer and data scientists, AI researchers, and software engineers

Innovation: Stay abreast of the latest advancements in data engineering, AI, and machine learning technologies, and apply this knowledge to improve our clients data infrastructure and capabilities.

Experience and skills you’ll use to solve

Experience in leading data engineering projects in an enterprise setting while working with a variety of data and analytic platforms, databases, analytic/BI tools (Azure, Synapse, Databricks)

Experience in migrating data platform applications from on-prem to Azure Synapse and Databricks

Data integration/data ingestion across structured and unstructured data sources, along with various enterprise applications

Expertise with multiple integration/ETL patterns: batch, streaming, API/microservices

Familiarity with modern data architecture and platforms: cloud, data mesh, data lakehouse, delta lake

Advanced knowledge of SQL language, proficiency with Python, Spark/Scala or Java

Problem-Solving: Strong analytical and problem-solving skills, with the ability to think critically and creatively.

Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.