Data Engineer – Manager

🕒 February 5

🏢🏡 Atlanta – Hybrid

💵 $99k - $232k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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Logo of PwC

PwC

WebsiteLinkedIn

10,000+ employees

Founded 1998

💸 Finance

☁️ SaaS

💰 Grant on 2023-09

Finance • Consulting • SaaS

PwC is a global network of firms providing professional services in areas such as audit, assurance, consulting, and tax services. With a presence in 157 countries and employing over 276,000 people, PwC is committed to delivering quality in assurance, advisory, and tax services. The company specializes in helping organizations and individuals create the value they're looking for by delivering specialized solutions in various industries including financial services, technology, media, and telecommunications, among others. PwC's services include consulting on matters like cybersecurity, business transformation, and sustainability, ensuring they remain at the forefront of industry trends and client needs.

📋 Description

• Design and implement thorough data architecture strategies • Lead the development of data models • Achieve compliance with data governance policies • Collaborate with business stakeholders to translate data requirements • Build and enhance ETL/ELT pipelines • Manage data warehouses and data lakes • Implement data security leading practices • Foster a culture of data-driven decision making

🎯 Requirements

• Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics • 5 years of experience • Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus • Proficiency in SQL • Proficient in programming languages such as Python, Java, or Scala • Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus • Knowledge of data governance and data security practices

🏖️ Benefits

• Medical • Dental • Vision • 401k • Holiday pay • Vacation • Personal and family sick leave • Annual discretionary bonus

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