In_manager_azure Data Engineer_data Analytics_advisory_bangalore

Data And Analytics Manager

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems.

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 programs, 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.

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.

Responsibilities:

JD to be evaluated:

• Azure Data factory, Azure Databricks, PySpark, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, Delta Live Table
• Azure Data Engineering - Master
• ELT - Master
• Data Modeling - Master
• Data Integration & Ingestion - Master
• Data Manipulation and Processing - Skill
• GITHUB, Action, Azure DevOps - Skill
• Experience in project management, running a scrum team.
• Experience working with BPC, Planning.
• Exposure to working with external technical ecosystem.
• Managing small teams.
• MKDocs documentation

Mandatory skill sets:

• Azure Data factory, Azure Databricks, PySpark, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, Delta Live Table

Years of experience required:

Experience: Overall 8+ years relevant experience

Education qualification:

B.Tech, BE, MTech, MCA.

Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology

Degrees/Field of Study preferred:

Required Skills:

Data Engineering

Optional Skills:

Accepting Feedback, Active Listening, Algorithm Development, Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 43 more}