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Data Engineer

4 weeks ago

delhi in Nacerz Global Full time

Our client enable its clients to thrive in Next and to create business value through expert strategies, customer-centric experience design, and world-class product engineering. The future of business is disruptive, transformative and becoming digital to the core.

In our 20 + years in IT, never before have we seen such a dire need for transformation in every major industry - from financial services to automotive, consumer products, retail, energy, and travel. To make this transformative journey a reality in these exciting times, we seek

Rockstars who will :

- Brave it out to go do the next; "what will be" from "what is"

- Exhibit the optimism that says there is no limit to what we can achieve

- Deeply-skilled, bold, collaborative, flexible

- Reimagine the way the world works to help businesses improve the daily lives of people and the world.

- Our people thrive because of the belief that it is both our privilege and responsibility to usher our clients and the world into Next.

Our work is fueled by :

- Challenging boundaries, Multidisciplinary collaboration, Highly agile teams, and the power of the newest technologies and platforms.

If that's you, come talk to us :

This is the world-class engineering team where you should build your career.

Job Title :

- Data Engineering (Senior Level Roles)

Job Summary :

As part of Data Engineering, you are responsible for defining and executing data strategy for clients. Your role focused on high quality strategy, definition and delivery of solutions involving :

- Data Integration, Governance & Wrangling

- Data Storage and Computation Frameworks, Performance Optimizations

- Analytics & Visualizations

- Infrastructure & Cloud Computing

- Data Management Platforms

The role requires a hands-on technologist with expertise in databases, Hadoop, MDM and reporting to provide strategic and tactical direction to customers in the areas of marketing and technology. The person should have a strong programming background like Java.

As data engineering practitioner, you should have a point of view and understanding of build vs. buy, performance considerations, hosting, business intelligence, reporting & analytics. Ideally, you have experience in integrating data with marketing scenarios like segmentation, targeting, consumer 360 view, etc.

Responsibilities :

- Provide inputs to define and execute strategic roadmap for enterprise data architecture by identifying the current landscape and future business goals.

- Provide technical leadership and hands-on implementation role in the areas of data techniques including data access, integration, modeling, visualization, mining, design and implementation.

- Lead a globally distributed team to deliver high quality solutions. Manage functional & non-functional scope and quality.

- Help establish standard data practices like governance and address other non-functional issues like data security, privacy and quality.

- Help establish best practice like standards and guidelines for design & development, deployment, support and analytics and mining.

- Help establish best practice in acquiring, storing and analyzing structured, semi-structured and un-structured data from the enterprise and outside like social

- Come up with analytics solutions based on the business goals and appropriate data visualization to support the goals.

- Manage and provide technical leadership to large data programs or multiple programs implementation based on the requirement using agile technologies.

- Define and drive key transformational programs like customer 360 degree view for the clients.

- Functional understanding related to digital marketing & customer experience solution blocks, Master data Management (MDM), Customer Relationship

- Management (CRM), Campaign Management, Tag Management, Media

- Buying, Optimizations, Recommendations & Targeting, DMP, and DSP.

- Understanding Digital data sources such as Open source data (ex: Facebook, Twitter, LinkedIn etc.), Web log Data (SiteCatalyst, Google Analytics), 3rd party paid data (ex: Acxiom, ACNielsen etc.) and business application data (CRM, Ecommerce etc.)

- Run workshops with clients and align client stakeholders to optimal solutions.

Experience Guidelines :

- 14+ years of experience within the field of data engineering.

- Excellent understanding of data technologies landscape.

- Well versed with pros and cons of various database technologies like Relational, NO SQL, MPP, Columnar databases.

- Well versed with Software as a service, Platform as a service and Infrastructure as a service concepts and can drive clients to a decision.

- Expert in programming languages like Java, Scala and / or JavaScript.

- Expert in multi-dimensional modeling like start schema, snowflakes, normalized and de-normalized models.

- Expert in one or more ETL, BI, Analytics and advanced visualization technologies.

- Expert in in Hadoop eco-system with one or more distribution like Cloudera and HortonWorks.

- Expert in agile development with CI / CD pipeline with data projects.

- Knowledge in computation frameworks like Storm and Spark.

- Knowledge in cloud and social media technologies and integrations.

- Expert in master data management and building customer 360 degree views.

- Strong analytical and problem solving skills.

- Strong communication skills verbal, written and visual presentations.

- Strong coordination and negotiation skills.

- Multi geo experience and distributed delivery experience in large programs.

- Business Knowledge: Data driven marketing experience would be a plus.

Education :

- Bachelor's/Master's Degree in Computer Engineering, Computer Science, or a related field.

(ref:hirist.tech)