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Tier-1 PwC, common Data Engineer title, mid-level experience and broad toolset increases candidate competition.
Managed-services consulting requires client-facing and domain knowledge, moderately reducing transferability across industries.
Moderate filters: explicit 2+ years plus preferred ETL, BI and cloud tool proficiencies.
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Develop and implement innovative data solutions, including data pipelines and architecture, to optimize business performance using tools like DataStage, ETL, AWS Redshift.
Leverage advanced analytics and business intelligence tools (Oracle BI, QlikView) to generate insights that support client strategic decision-making.
Engage with clients and stakeholders to identify data challenges, provide data-driven recommendations, and manage complex situations while maintaining professional standards.
Bachelor's degree required.
Minimum 2 years of relevant work experience.
Proficiency with data technologies including DB2, SQL Server, DataStage, ETL, Oracle BI, QlikView, AWS Redshift, GoldenGate, CDC, and Workload Scheduler is expected though not explicitly stated as mandatory.
Up to 60% travel required.
Academic background in Computer/Information Science, Accounting, Economics, Finance, Operations Management/Research, Statistics, or Engineering preferred.
Demonstrated proficiency in Python and Java programming languages.
Experienced in developing data architecture, pipelines, business intelligence reporting, and applying analytical thinking to solve complex data challenges in dynamic environments.