IN Senior Associate Azure Data Engineer Advisory Corporate Advisory Hyderabad
Hyderabad - Salarpuria
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
SAPManagement Level
Senior AssociateJob Description & Summary
We are seeking a talented and experienced Azure Data Engineer to join our growing team. In this role, you will be responsible for designing, building, and maintaining data pipelines and solutions on the Microsoft Azure platform. You will play a pivotal role in ensuring the smooth operation and efficiency of our data infrastructure, enabling data-driven decision making across the organization.*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: We are seeking a talented and experienced Azure Data Engineer to join our growing team. In this role, you will be responsible for designing, building, and maintaining data pipelines and solutions on the Microsoft Azure platform. You will play a pivotal role in ensuring the smooth operation and efficiency of our data infrastructure, enabling data-driven decision making across the organization.
Responsibilities
- Design, develop, and implement robust and scalable data pipelines using Azure services such as Azure Data Factory, Azure Databricks, Azure Cosmos DB, Azure SQL Database, and other relevant services.
- Develop and maintain data models, schema, and data quality processes.
- Collaborate with stakeholders to define and understand data requirements.
- Develop and implement data governance policies and procedures.
- Troubleshoot and resolve data-related issues and performance bottlenecks.
- Stay up-to-date on the latest Azure technologies and best practices.
- Contribute to the development and maintenance of documentation and technical standards.
- Participate in code reviews and provide technical guidance to team members.
Mandatory skill sets:
Spark framework, PySpark, Azure Databricks, Azure SQL Database, ADF, Storage Account, Azure Data Explorer
Preferred skill sets:
Trino, Apache Airflow
Years of experience required:
4 to 8 years
Education qualification:
Bachelor's degree in computer science, engineering, or a related field.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Microsoft Azure Databricks, Microsoft Azure Data Explorer, PySparkOptional Skills
Apache Web Server, Triiodothyronine (T3)Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Azure Computer Science Cosmos DB Databricks Data governance Data pipelines Data quality Engineering Pipelines PySpark Spark SQL
Perks/benefits: Career development
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