Job Role: Data Engineer Consultant
Offering cusomer-tailored services and deep industry insights, at Deloitte Consulting LLP we help clients tackle their most complex challenges enabling them to seize new growth opportunities, reduce costs, improe efficiencies and stay ahead of customer demand. Developing and executing our clients strategic vision, we help them dramatically improve their business performance across a broad range of specialties enterprise model desi, global business services, outsourcing, real estate, and location strategy.
Our Deloitte Innovations and Platforms teams are working on delivering innovate cloud-based solutions across a range of domains and industries (e.g. supply chain management, banking/insurance, CPG, retail, etc.). It is a fast-paced, innovative and exciting environment. Our teams are following an agile development approach and work with the latest technologies across a wide range of cloud technologies, commercial options and open source. We are building and bringing solutions to market which we are hosting and operating for our clients.
Data Engineer
As a Data Engineer, you will be responsible for designing, developing, and maintaining our data pipelines and infrastructure. You will work closely with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and optimized for performance.
Work youll do
Design, build and support scalable data pipelines, systems, and APIs using python, spark and snowflake ecosystems.
Use distributed computing frameworks (primarily PySpark, snowpark), graph-based and other cutting-edge technologies to resolve identities at scale
Lead cross-functional initiatives and collaborate with multiple, distributed teams
Produce high quality code that is robust, efficient, testable and easy to maintain
Deliver operational automation and tooling to minimize repeated manual tasks
Participate in code reviews, architectural decisions, give actionable feedback, and mentor junior team members
Influence product roadmap and help cross-functional teams to identify data opportunities to drive impact
Team
Converges cloud-based suite of software solutions, combined with Deloittes integrated technology ecosystem, enable financial institutions to deliver the security, digital convenience, and personalization customers expect today. With regulatory experience in financial services, strategy, and implementation, we help our clients offer an exceptional customer experience, expand product offerings, acquire new customers, reduce customer acquisition cost, and deliver strong ROI goals on their technology investment. For more information visit: https://www2.deloitte.com/us/en/pages/consulting/solutions/converge/converge-prosperity.html
Prior Experience:
5 to 8 years of experience in Data engineering.
3 to 5 years of experience in Data engineering.
Skills/Project Experience - Required:
2+ years of software development or data engineering experience in Python (preferred), Spark (preferred), snowpark, snowflake or equivalent technologies
Experience designing and building highly scalable data pipelines (using Airflow, Luigi, etc.)
Knowledge and experience of working with large datasets
Proven track record of working with cloud technologies (GCP, Azure, AWS, etc.)
About Company
Deloitte is a global professional services firm that provides a wide range of services, including audit and assurance, consulting, tax, risk management, and financial advisory. With a presence in over 150 countries and a network of member firms, Deloitte serves clients across various industries, helping them solve complex business challenges, improve operations, and innovate. Known for its expertise in management consulting, technology solutions, and strategy, Deloitte is one of the Big Four accounting firms and is recognized for its commitment to quality, integrity, and making an impact in the marketplace.
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