drjobs AWS-Data Engineer- Senior Manager

AWS-Data Engineer- Senior Manager

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1 Vacancy
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Job Location drjobs

Bengaluru - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data Analytics & AI

Management Level

Senior Manager

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 decisionmaking and driving business growth.

In data engineering at PwC you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines data integration and data transformation solutions.

Years of Experience: Candidates with 12 years of hands on experience

We are seeking a highly skilled and innovative Data Engineer to join our fastgrowing 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.

Role and Responsibility:

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 largescale 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.

skills Required:

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

Experience in migrating data platform applications from onprem to AWS 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 ProblemSolving: Strong analytical and problemsolving 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 nontechnical stakeholders.

Ability to work independently and in a team

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

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank certifications not specified)

Required Skills

Optional Skills

Accepting Feedback Accepting Feedback Active Listening Algorithm Development Alteryx (Automation Platform) 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 DataDriven Insights Data Integration Data Integrity Data Mining Data Modeling 46 more

Desired Languages (If blank desired languages not specified)

Travel Requirements

0

Available for Work Visa Sponsorship

No

Government Clearance Required

No

Job Posting End Date


Required Experience:

Senior Manager

Employment Type

Full-Time

Company Industry

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