Job Location: New York, NY
Software Engineer Lead – Senior Data Engineer/Modeler
- 069079
Senior Data Engineer/Modeller-
Martech & Digital Marketing Customer Data Platform (CDP) Data Engineer/Modeler โ Customer First:
Practice Overview:
The Customer First Practice within Capgeminiโs Insights and Data Group helps clients to evolve and transform what they offer, how they operate, and how they acquire, engage and retain their customers using Data, Analytics, and Artificial Intelligence. We aim to help clients across various industries generate growth by becoming a Customer Centric Data-driven Organizations. Our audiences notably include CMO, CDO, CEO or Chief Experience Officers.
You will work with colleagues from across the firm to help companies multiply their growth via implementing best-in-class agile marketing and personalization, enabled by data and technology. You will apply your distinctive level of subject matter expertise to shape CxO level agenda on digital marketing and growth by developing specific marketing strategies and transformation initiatives that accelerate customer acquisition and customer value across channels.
Leveraging your expertise, youโll help to advance Capgeminiโs overall knowledge base by contributing to and expanding our diagnostic and assessment toolkit and approaches. You will also develop new frameworks, approaches and techniques in addition to building on existing ones.
In your role you will:
- Design, build and integrate data pipelines, data lakes, clean rooms and CDPs
- Collaborate with upstream and downstream technical teams to develop integrations to provide a seamless flow of marketing assets from planning to delivery.
- Implement engineering best practices to continuously deliver working software by mentoring other developers
- You will use your in-depth experience in software development to write clean, tested, and well-documented code
Qualifications:
- Bachelor’s degree or equivalent work experience
- 4 years minimum data engineering experience
- Strong foundation in Python and SQL
- Experienced in building data pipelines and APIs in GCP
- Developed highly reliable data pipelines from both batch and/or real-time data sources
- Understands of trade-offs of architectural patterns and comfort in recommending approaches and associated technology choices
- Experience in designing data models that reduce data redundancy, streamline data movements, and improve enterprise information management
- Hand-on experience in dimensional modelling for large analytical processing platform.
- Proven experience developing models for Applications and Business Intelligence solutions
- Experienced with utilizing DevOps techniques and practices like CI/CD for DDLs
- Ability to transform the logical representation of the model into a physical representation
- Recommend and establish standards, guidelines, and procedures for design and maintenance.
- Ability to think dynamically across many different and varying technologies
- Has the skill to partner with cross-functional teams using strong written and verbal communication
- Strategy Oriented, with deep expertise in business and wide knowledge in enterprise management and superior level of problem solving coupled with strong interpersonal skills with the ability to inspire and communicate with a wide range of non-technical and low technology literacy stakeholders and customers
Preferred Qualifications
- Understanding of the ad-tech ecosystem, bid managers, ad servers, DPs, and DSPS and an advanced knowledge of complementary marketing technologies such as CDPs, DMPs, decision engines etc…
- Experience with Customer Data Platforms and MDM such as Segment, Tealium, Redpoint Global, Adobe Experience Platform, Salesforce C360 and Interaction Studio, Microsoft D365 Customer Insights, Oracle CX Unity, Reltio, Lytics, Amperity or ActionIQ
- Experience in a consulting environment and/or digital agency with demonstrated track record of continuing responsibilities, creativity and innovation
- Qualification: 2-5 years (1 year min relevant experience in the role) experience, Bachelorโs Degree.
- Certification: Should have or seeking SE Level 1.
- Should have progressing knowledge in Business Analysis, Business Knowledge, Software Engineering, Testing, Data Management, Architecture Knowledge and Technical Solution Design.
In a world where change happens in a split second, our clients must master the art of balancing business transformation with operational excellence and cost reduction to protect their market leadership and safeguard their workforce.
They need the best and brightest talent to limit business disruption and foster future growth, all while striving to realize a new normal. In this context, itโs our people within Insights & Data that are the core enablers to support our clients in their growth journeys. To give our clients our best and brightest, we pride ourselves on being a fast-paced, fun, ethical place to work, where the โwork hard, play hardโ mentality holds true. Even more important is our clear commitment to creating a diverse workforce in all areas. In fact, for the ninth time in a row, Capgemini has been recognized as one of the Worldโs Most Ethical Companies by the Ethisphere Institute. In addition, weโve been recognized as a top company for women by Working Mother Media.
Capgeminiโs Insights & Data Americas practice is comprised of professionals with data, analytics, and AI expertise, covering the full data- and AI-powered transformation lifecycle. Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.).
We do great work at I&D that is at the forefront of innovation. We pride ourselves as an inclusive, talented, and accomplished workforce, so please contact us to explore your fit with us.
Schedule Full-time
Primary Location US-NY-New York
Organization I&D
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