Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer-Consultant you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Talent Model. Project Talent Model (PTM) is a talent model that is tailored specifically for long-term, onsite client service delivery. Work you’ll do/Responsibilities • Work with Business Analysts to understand the requirement • Work with Application Architect to understand the design • Build low level data pipeline specifications in Databricks and Apache Hadoop using Spark Unit test the data pipelines • Work with other team members (onshore/ offshore) to co-ordinate the buildout of the integration • Support SIT and UAT • Support pipeline deployment • Support post-production maintenance and monitoring • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management The Team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Required Qualifications • 4+ years of hands-on experience in Data engineering • Technical - SQL, Azure Databricks, Apache Spark* Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience • Limited immigration sponsorship may be available • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve Preferred Qualifications • Analytical/ Decision Making Responsibilities • Analytical ability to manage multiple projects and prioritize tasks into manageable work products • Can operate independently or with minimum supervision • Excellent Written and Communication Skills • Ability to deliver technical demonstrations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 95000 to $ 112000. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Requirements

Must-haves

Work you’ll do/Responsibilities
Work with Business Analysts to understand the requirement
Work with Application Architect to understand the design
Build low level data pipeline specifications in Databricks and Apache Hadoop using Spark
Unit test the data pipelines
Work with other team members (onshore/ offshore) to co-ordinate the buildout of the integration
Support SIT and UAT
Support pipeline deployment
Support post-production maintenance and monitoring
4+ years of hands-on experience in Data engineering
Technical - SQL, Azure Databricks, Apache Spark* Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
Limited immigration sponsorship may be available
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Can operate independently or with minimum supervision

Nice-to-haves

Analytical/ Decision Making Responsibilities
Analytical ability to manage multiple projects and prioritize tasks into manageable work products
Excellent Written and Communication Skills
Ability to deliver technical demonstrations

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlazure

Platform: avature
Effort: medium

Benefits

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