Data Engineer

Job Description

About Rysun Labs:

Rysun Labs (formerly KCS Krish Compusoft Services) is an AI, Data & Digital innovation partner of choice for enterprises, globally. Rysun guides and accelerates the Data & AI strategy and Digital Transformation programs for Fortune 2000 enterprises and product startups to shape remarkable customer experiences and intelligent operations. The team delivers innovative, specialized solutions that help High-tech, Retail & Ecommerce, and Energy companies to outperform competition and lead the change in their industry. Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its customers. Rysun believes in quality-first and is CMMI Level 5, ISO 9001 & 27001 certified. The team has a growth mindset fueled by a strong culture of collaboration that unifies its global teams across India, USA, South Africa (a proud Level 2 B-BBEE Contributor), and UK.

Type of Employment: CTH (9-10 months contract)

Location: REMOTE during contract (9-10 months), once transition to PERM work arrangement will transition from remote to onsite location i.e. Houston, TX.

Role:

Leads and mentors a team of engineers, provides technical guidance, sharing best practices, and fostering a culture of continuous learning and growth.

Adheres to and drives modern software engineering practices through design reviews.

Works on system design through well-defined interfaces across multiple components, code reviews.

Develops “best-in-class” engineering for our services by ensuring that the services and the components are well-defined and modularized, secure, reliable, diagnosable, actively monitored, and reusable.

Improves test coverage for services; organizes and implements integration tests; and resolves problem areas.

Ensures testability, portability/monitoring, reliability, and maintainability; and understands when code is ready to be shared and delivered.

Focuses on business needs through a data driven approach.

Troubleshoots and optimizes automation, reliability, and monitoring for delivered products.

Designs, develops, and optimizes complex data models and reporting structures.

Leads the design and implementation of scalable and efficient data analytics and reporting architectures.

Ensures the integrity, security, and performance of data products and reporting solutions by partnering with platforms, data architecture, and governance teams.

Defines and implements the long-term technical strategy for data analytics, incorporating innovations and industry trends.

Stays up-to-date with emerging technologies and assess their applicability to the organization.

Collaborates with cross-functional teams, including data scientists, business analysts, data engineers, platforms engineers, and IT professionals, to develop comprehensive data solutions.

Establishes and enforces data quality standards and best practices. Implements processes for data validation, cleansing, and accuracy.

Evaluates and selects appropriate data analytics and reporting tools to meet the needs of business. Leads requirement sessions and partners closely with platforms and infrastructure teams during the evaluation and implementation of these tools.

Partners with engineering and development teams to create and maintain documentation for data models.

Monitors the performance of data analytics and reporting systems; and provides technical leadership to drive stability and scalability of data products and reporting solutions.

Implements measures to optimize performance and troubleshoot issues.

Provides strategic insights and recommendations based on data analytics to support decision-making at the organizational level.

Recommends infrastructure upgrades to support business growth and evolving technology requirements.

Uses Azure services, such as Azure SQL DW (Synapse), ADLS, Azure Event Hub, OneLake to improve and speed up delivery of our data products and services.

Implements big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights to the organization.

· Build new data Integrations

· Create and Maintain transformation Measures, Metrics, KPI's

Requirements:

BE/BS or MS in Computer Science/Engineering or equivalent experience

8+ years of overall experience

Experience with data visualization and presentation, familiar with data analysis tools such as PowerBI,

Data Modeling tools like ER Studio

Data Integration tools like Boomi, FiveTran, Azure Factory

Knowledge of analytics, statistical modeling, and machine learning methodologies

The successful candidate will have a demonstrated track record of large-scale computing operations and planning, with experience in high-performance computing a plus

Interested candidates please apply to this job post.Company Description

Rysun is an AI, Data and Digital Innovation company. A partner of choice for leading enterprises globally, raising the bar for business strategy with technology solutions that create remarkable experiences and outcomes for our clients and their customers.