Senior Manager - Data Engineering

About the Company

Krtsya Solutions is a Training, Recruitment and Consulting organisation started by Gen Y millennials based out in Hyderabad, India. Here we are recruiting for one of our reputed and esteemed client,

My client is a new breed of agency redefining storytelling for an always-on world. My client is changing the way our companies engage today's connected consumers by uniquely creating integrated, immersive stories across brand communications, digital engagement, and omnichannel commerce.My client calls it Storyscaping, where art and imagination meet the power and scale of systems thinking.My client's unique combination of creative, brand and technology expertise results in one global team collaborating across disciplines, perspectives and continents to create game-changing success for Global 1000 clients, such as Chrysler, Citi, The Coca-Cola Company, Lufthansa, Target, and Vodafone, in 31 cities across The Americas, Europe and Asia-Pacific.

Job Title:

Senior Manager - Data Engineering

Job Summary:

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

- Data Integration, Governance & Wrangling

- Data Storage and Computation Frameworks, Performance Optimisations

- 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, modelling, visualisation, 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 analysing structured, semi-structured and unstructured data from the enterprise and outside like social

- Come up with analytics solutions based on the business goals and appropriate data visualisation 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, DSP.

- Understanding Digital data sources such as Open source data (ex: Facebook, Twitter, LinkedIn etc.), Weblog 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:

- 10+ years of experience in 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 service concepts and can drive clients to a decision

- Expert in programming languages like Java and JavaScript

- Expert in multi-dimensional modelling like start schema, snowflakes, normalised and de-normalized models

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

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

- 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