IN_Senior Associate_Data Engineering_Digital Integration_Advisory_Gurgaon at pwc

c, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

07 Mar, 26

Salary

0.0

Posted On

07 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Databricks, Spark, Delta Lake, Azure Data Factory, Azure Data Lake Storage, Google CloudSQL, Data Integration, ETL Processes, T-SQL, Postgres Database, Architecture Design, Data Modelling, CI/CD Pipelines, Cloud Platforms, Docker, Kubernetes, Agile Methodology

Industry

Professional Services

Description

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data. Why PWC At 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 looking for experienced software developers with: *strong analytical and problem-solving abilities *willingness and to learn new technologies and adapt to changing project requirements *experience with migrating legacy enterprise apps into microservice architecture along with data migration *ability to prioritize tasks and manage time effectively to meet deadlines *good verbal and written communication skills *ability to work collaboratively in a team setting Responsibilities: * Design, develop, and maintain data models for enterprise apps *Collaborate with data architects and business analysts to implement data solutions for microservices * Maintain and enhance existing data models based on functional requirements *Work closely with IT and business teams to communicate impact of cascading changes made in existing data model *Collaborate with team lead and other team members to ensure best practices and design guidelines are followed *Provide regular updates on progress and issues to project managers, delivery leads Skill sets *Strong proficiency in Azure Databricks, including Spark and Delta Lake. *Experience with Azure Data Factory, Azure Data Lake Storage, and Google CloudSQL *Proficiency in data integration and ETL processes and T-SQL. *Experienced working in Postgres Database *Experienced in architecture design and data modelling * Experience in developing and maintaining CI/CD pipelines to automate testing and deployment processes. *Familiarity with cloud platforms Google Cloud and containerization tools (e.g., Docker, Kubernetes). *Exposure to Agile methodology Mandatory skill sets: Data Engineering Preferred skill sets: Data Engineering Years of experience required: Associate - 2-3 yrs Education qualification: · BTech/BE/MTech from reputed institution/university as per the hiring norms Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Engineering Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Analytical Thinking, Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Creativity, Daily Scrum, Data Analytics, Data Architecture, Data-Driven Insights, Data Ingestion {+ 34 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 Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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Responsibilities

Design, develop, and maintain data models for enterprise applications while collaborating with data architects and business analysts. Maintain and enhance existing data models based on functional requirements and communicate changes to IT and business teams.