INSenior AssociateData EngineerEmerging BusinessesAdvisoryGurugram

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profile Job Location:

Gurgaon - India

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Emerging Technologies

Management Level

Senior Associate

Job Description & Summary

At PwC our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.

In emerging technology at PwC you will focus on exploring and implementing cutting-edge technologies to drive innovation and transformation for clients. You will work in areas such as artificial intelligence blockchain and the internet of things (IoT).

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 & Summary: We are seeking a highly skilled and motivated Data Engineer to join our growing data engineering team. The ideal candidate will be responsible for designing developing and maintaining scalable data pipelines and data lake solutions using Azure Data Services Apache Spark and Big Data technologies. This role requires strong hands-on experience in data integration transformation and storage using tools such as Azure Synapse Azure Data Factory Databricks SQL Server and PySpark. The successful candidate will work closely with data scientists analysts and business stakeholders to ensure the availability quality and reliability of data assets for analytics and AI workloads.

Responsibilities:

Design build and maintain scalable and reliable data pipelines using Azure Data Factory Azure Synapse and Databricks. Develop and optimize large-scale data processing jobs using PySpark and Spark SQL on Azure Databricks or Synapse Spark pools. Manage and work with large datasets stored in data lakes (ADLS Gen2) and integrate with enterprise data warehouses (e.g. SQL Server Synapse). Implement robust data transformation cleansing and aggregation logic to support analytics and reporting use cases. Collaborate with BI developers analysts and data scientists to provision clean reliable and timely datasets. Optimize data flows for performance and cost efficiency on Azure cloud platforms. Implement data governance lineage and security practices across the data architecture. Troubleshoot and resolve data pipeline failures and ensure high availability and fault-tolerant design. Participate in code reviews adhere to version control practices and maintain high coding standards.

Mandatory skill sets:

Azure Data Factory (ADF) Azure Synapse Analytics Azure Databricks Apache Spark PySpark SQL Server / T-SQL / Synapse SQL Azure Data Lake Storage Gen2 Big Data ecosystem knowledge (Parquet Delta Lake etc.) Git DevOps pipelines for data engineering Performance tuning of Spark jobs and SQL queries

Preferred skill sets:

Python for data engineering workflows Azure Monitor Log Analytics for pipeline observability Power BI (data modeling DAX) Delta Lake Experience with CI/CD for data pipelines (YAML pipelines ADF integration) Knowledge of data quality tools and frameworks

Years of experience required:

4 to 8 years

Education qualification:

B.E/ in Computer Science Information Technology or related fields MCA with relevant data engineering experience

Education (if blank degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor Degree MBA (Master of Business Administration)

Degrees/Field of Study preferred:

Certifications (if blank certifications not specified)

Required Skills

Data Engineering

Optional Skills

Accepting Feedback Accepting Feedback Active Listening Analytical Thinking Artificial Intelligence Business Planning and Simulation (BW-BPS) Communication Competitive Advantage Conducting Research Creativity Digital Transformation Embracing Change Emotional Regulation Empathy Implementing Technology Inclusion Innovation Processes Intellectual Curiosity Internet of Things (IoT) Learning Agility Optimism Product Development Product Testing Prototyping Quality Assurance Process Management 10 more

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


Required Experience:

Senior IC

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismEmerging TechnologiesManagement LevelSenior AssociateJob Description & SummaryAt PwC our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving nee...
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About Company

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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

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