Data Engineer Architect

Profile: Technical Architect - Data Engineering

Experience: ++ years

Salary: INR 3,20,000/month (based on experience)

Expected Notice Period: 2 to 4 Weeks

Shift: 10:30 AM to 7:30 PM IST

Opportunity Type: Onsite (Hyderabad)

Placement Type: Direct Placement

(*Note: This is a requirement for one of Uplers' clients)

About the Client/Company:

Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. The company has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.

Our Client is Looking for:

We are looking for Technical Architect - Data Engineering who are passionate about their work, eager to learn and grow, and who are committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you!

Roles & Responsibilities

Practice Development
• Work with DE Practice Lead and clients to understand business problems, industry context, data sources, potential risks, and constraints
• Collaborate with Leadership – provide meaningful and credible feedback on Data Engineering capabilities, data availability, and customer trend information
• Actively mentor and coach the team and help them realize the best solution to a problem
• Facilitating, guiding, and influencing the clients and teams towards right information technology architecture and becoming interface between Business leadership, Tech leadership and the delivery teams
• Provide best practice advice to customers and team members
• Create an ecosystem that fosters innovation and encourages members of the CoE to build innovative solutions and publish papers/content in the public domain

Project Delivery
• Lead our DE team performing standard-to-advanced and the highest complexity Data and API engineering in modern ways on modern platforms and technologies
• Works with and directs all resources on requirements and reviewing the quality of work prior to move to production
• Get the stakeholder feedback, get alignment on approaches, deliverables, and roadmaps
• Develop a project plan including milestones, dates, owners, and risks and contingency plans
• Create and maintain efficient data pipelines, often within clients’ architecture; typically, data are from a wide variety of sources, internal and external, and manipulated using SQL, spark, and Cloud big data technologies

People Management
• Provide strategic leadership, development and talent management activities for direct reports and their organizations, which may include forecasting resource needs, recruiting, hiring, performance management, training and budgeting. You will also collaborate with managers and supervisors in your organization to ensure staff selections align with current and future needs
• Executes Performance Management cycle responsibilities (reviews, salaries and incentives). Formulates development plans and roadmaps for new and incumbent staff to help them succeed at their job responsibilities
• Assists with the development and/or monitoring of workflow, procedures, and metrics to track employee and department productivity, gathers and analyzes statistics and makes recommendations for performance improvements.

This Role Requires:

Required Skills and Experience
• 8+ years of hands-on Experience with crafting and building large scale data pipelines in distributed environments with technologies such as Hadoop, Spark, Kafka, Hive etc.
• Experience with NoSQL datastores like Cassandra, Elasticsearch, HBase, MongoDB.
• Proven skills in designing, tuning & optimization scalable, highly available distributed systems which can handle high data volumes.
• Strong understanding of software engineering principles and fundamentals including data structures and algorithms.
• Strong experience of working with API’s and integrating multiple applications together.
• Proficient & hands-on in Python is a must.
• Good Experience with modern engineering practices and technologies including CICD, Cloud native development, social coding (github), chatbots and more.
• Good data modeling experience to address scale and read/write performance.
• Excellent written and oral communication skills on both technical and non-technical topics.
• Excellent general analytical & problem solving skills.
• Experience with cloud computing platforms like AWS or GCP is a plus.

Educational Qualifications
• Bachelor/Master’s degree in Computer Science, Computer Engineering, quantitative studies, such as Statistics, Math, Operation Research, Economics and Advanced Analytics

About Uplers

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant direct placement onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement.

How to apply for this opportunity?
• Register or login on our portal & fill out the application
• Clear the assessment(s) required and apply for the opportunity
• Once completed, our team will contact you with an interview with our SME/Matcher
• Once it’s all done, your profile will be shared with the client
• When selected, just meet the client and get your exciting career started!

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well