Data Specialist (Senior Data Engineer)

Data Pipeline Development

Data Integration and Management

Data Quality and Governance

Performance Optimization

Documentation and Collaboration

Education and Experience

Technical Skills

• Strong experience on advanced SQL any Database. (Oracle, Teradata, snowflake).
• Experience in data integration area and hands on experience in any of the ETL tools like Datastage , Informatica , Snaplogic etc.
• Able to transform technical requirements into data collection query.
• Should be capable of working with business and other IT teams and convert the requirements into queries.
• Good understanding of ETL architecture and design.
• Good knowledge in Databases, SQL, or PL/SQL
• Good experience with CI/CD tools such as Github Actions (AzDO pipelines)
• Good to have knowledge on Unix commands
• Good to have an experience on AWS Glue
• Good to have knowledge on Qlik replication tool
• This position requires candidate to work a 5-day -a -week schedule in the office.
• Shift Timing: 01:00-10:00PM IST

Soft Skills

• Good analytical and problem-solving skills with attention to detail.
• Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.
• Ability to manage multiple tasks and prioritize workload in a fast-paced environment.
• Eagerness to learn new technologies and stay updated with industry trends.

Skills desired

• Value Realization: Knowledge of value realization methods; ability to plan, execute, monitor and manage business activities and resources to determine and achieve the actual value from a business initiative as estimated in an associated business case. Level Basic Understanding: • Describes the importance of Value Realization milestones for long-term projects. • Assists in measuring and attaining post-project implementation value. • Identifies process changes or business value integration in change initiative plans and activities. • Contributes to project team communication regarding the linkage of a change initiative to its associated business goals and case. Communicating Complex Concepts: Knowledge of effective presentation tools and techniques to ensure clear understanding; ability to use summarization and simplification techniques to explain complex technical concepts in simple, clear language appropriate to the audience. Level Working Knowledge: • Uses comparisons to familiar ideas when introducing a technical or novel feature. • Separates fundamental concepts from supporting details in explaining a product or service. • Explains products and services with little or no use of technical jargon or advanced vocabulary. • Emphasizes the most important facts or features of a product or service. • Perceives lack of audience comprehension; further simplifies explanation when needed. Agile Development : Knowledge of agile methodologies and the agile development lifecycle; ability to utilize formal agile methodologies, disciplines, practices and techniques for the delivery of new and enhanced applications. Level Working Knowledge: • Explains a specific agile process and its associated checkpoints and deliverables. • Works with a specific agile development methodology. • Interprets metrics used to measure progress and effectiveness. • Defines key selection and qualifying criteria for projects suitable for agile development. • Applies major tools and techniques associated with the specific methodology. Cloud Computing: Knowledge of cloud-based solutions and their applications; ability to design, implement, and manage cloud-based solutions to meet business needs and improve operational efficiency. Level Working Knowledge: • Designs and implements a cloud-based solution to meet a specific business need or requirement. • Configures and deploys cloud-based infrastructure, such as virtual machines, storage, and networks. • Migrates applications and data to a cloud-based environment, including data migration and integration. • Implements cloud-based security measures, such as access controls, encryption, and firewalls. • Troubleshoots and resolves common cloud-based issues, such as connectivity problems and performance degradation. Database Design (Physical): Knowledge of database systems; ability to establish a data model for designing an organization's database that runs effectively and efficiently for better business outcome. Level Working Knowledge: • Researches relationships between different business data sets. • Participates in the establishment of data structures based on their relationships. • Adheres to an organization's database design policies. • Utilizes database design tools and techniques. • Tests the effectiveness of the database before its release for business use. ETL Process: Knowledge of the extraction, transformation and loading (ETL) process; ability to develop a database through the ETL process. Level Working Knowledge: • Ensures the accuracy and effectiveness of data provided for the warehouse. • Loads selected data into the warehouse on a regular basis. • Derives necessary business or technical information from original data. • Acquires a large amount of data from different sources/systems. • Solves technical and administrative problems during the ETL process. Information Management: Knowledge of an organization's existing and planned Information Architecture and Information Management (IM) methodology; ability to collect and manage information from different sources, and distribute this information to enhance operational efficiency. Level Extensive Experience: • Directs the implementation of information processing and operation standards to protect and manage information assets. • Develops capabilities, features and uses for major IM platforms. • Coaches others on issues and considerations for managing structured vs. unstructured data. • Advises on improvement plans for existing and forecasted information architecture. • Consults on all major information management platforms and practices. • Consults on information architecture concepts, disciplines and practices. Modeling: Data, Process, Events, Objects: Knowledge of data, process and events; ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events. Level Working Knowledge: • Defines common types of data, processes or event models. • Participates in model reviews and walkthroughs. • Explains existing models to clients and describes their associated business processes. • Focuses on modifying Data Structure, Access and Entity Relationship Diagrams. • Prepares reports to recap current findings and issues in data, processes or event models.

What you will get

Holistic Development

Health and Wellness

Financial Wellness

Additional Information

Posting Dates