How will you create an impact within organization?

As a Technical Lead you will be accountable for leading the software development team, ensuring the product releases and heading the engineering activities. You will collaborate with teams and implement best practices to streamline the activities. You will grow in a design culture that welcomes all ideas and which channels the collective talent of our amazing team to create bold and elegant solutions that solve our customers’ problems in a profound manner.

You will be challenged to -
• Design and architect technical solutions for large scale customer implementations.
• Build products that can scale with huge amounts of data and varied customer requirements.
• Attend Daily stand-up and help the team to achieve sprint goal.
• Be part of customer demos, customer interactions.
• Mentor and guide the customer & team to resolve technical issues.
• Work in a fast-paced environment delivering client requirements.

Technical skills and Experience:
• Minimum of 8 years of professional experience.
• Minimum of 4 years of practical experience in ETL (Extract, Transform, Load) processes. 
• Involvement in at least 2 Large Scale Implementation Projects.
• Familiarity with preferred ETL tool: Apache NiFi.
• Proficient in comprehending and applying Data Integration Design Patterns, including both Batch Workload and Near Real-Time Workloads.
• Skilled in conducting data analysis to identify data relationships, including Cardinality Detection.
• Hands-on experience in implementing Data Lake and Data Warehouse solutions, with the ability to handle scenarios such as Early Arriving Facts, Master Data Management, and Hierarchy Establishment.
• Familiarity with data modelling concepts including Early Arriving Facts, Variable Depth Facts, Sub Type-Super Types, and similar aspects.
• Profound understanding of designing and constructing highly scalable, production-grade Data Warehouses, Data Pipelines, and Software solutions.
• Fluent in crafting and optimizing SQL queries, skilled in data mining through SQL, and demonstrated ability to compose complex, high performance queries for extensive datasets.
• Strong conceptual thinking skills, able to grasp complex data concepts.
• Quick to learn and adapt to new data tools and concepts.

Roles and Responsibilities:
• Techno-functional role in Business Intelligence domain managing core BI ETL and data movement automation requirements.
• Manage and lead the data-warehouse initiative.
• Knowledge of system analysis and design methodologies and tools, and experience with large and complex data systems.
• Manage and develop integration architectures across multisystem/platforms with sustainable and scalable architecture in both batch and Real-Time modes.
• Build, mentor, and guide development team to provide technical solutions as well as actionable information.
• Manage integration architectures across multiple platforms/systems in both batch and real-time modes, emphasizing sustainability and scalability.
• Lead and oversee data warehouse initiatives and migrations, including database management.
• Construct and optimize high-volume workloads in both ETL processes and data storage layers.
• Construct and automate ETL pipelines and analytical workflows.
• Oversee technical implementations, from data definitions to end-user reporting, contributing to all phases of the software development lifecycle.
• Define specifications for ad-hoc reporting and data quality projects.
• Automate and standardize processes for enhanced efficiency.
• Directly engage with business analysts or sponsors to collect and validate functional requirements and translate them into design specifications.
• Perform source system analysis to understand data structures and integration possibilities.
• Analyse and resolve intricate data set issues.
• Mentor team members, sharing knowledge and expertise effectively.

Education:
● Qualification: BE/B.Tech, ME/M.Tech, MS, MCA (with an aggregate of 75% and above)
● Stream (Preferable): Computer Science, Information Technology, Information Science