Senior Data Engineer
Location: Hyderabad, Telangana, India
Notice
Job Number: 5557
External Description:
Position Profile: Sr Data Engineer
Shift Timings: 2pm- 11pm
Who we are:
Randstad Sourceright’s global talent solutions provides instant access to experienced recruitment
and contingent workforce management support by combining technology, analytics and deep
global and local expertise. Our operations consist of the client aligned service delivery teams
operating across RPO, MSP and Blended Workforce Solutions. We are certified as a “great place to
work” for the last 3 consecutive years and are recognized as the best place to work by Glassdoor
Group Objective
The mission of the business intelligence team is to create a data-driven culture that empowers leaders to integrate data into daily decisions and strategic planning. We aim to provide visibility, transparency, and guidance regarding the quantity and quality of results, activities, financial KPIs, and leading indicators to identify trends aimed at data-based decision-making easily.
Position Objective
As a Senior Data Engineer, you will be responsible for designing, architecting, and implementing robust data solutions in a cloud-based environment (GCP). You will partner with other data engineers and technical teams to ensure the availability, reliability, and performance of our data systems.
Position Summary |
% |
Programming & Code Writing
|
20% |
Consulting & Partnership
|
30% |
Troubleshooting & Continuous Improvement
|
30% |
Senior activities
|
20% |
Education
- Master’s degree in Computer Science / Information Technology or related field, highly preferred
Experience
- Extensive knowledge of BI concepts and related technologies that help drive sustainable technical solutions
- Extensive Experience with data lakes, ETL and data warehouses
- Advanced experience of building data pipelines
- Passion for building quality BI software
- Project Management and/or process improvement experience highly preferred
Knowledge, Skills, and Abilities
- Polyglot coder and expert level in multiple languages including, Python, R, Java, SQL, relational databases, ERP, DOMO or other data visualization tools i.e. Tableau
- Advanced and proven experience with Google cloud platform (GCP) is preferred. But experience with Microsoft Azure / Amazon will be considered.
- Any exposure to Kafka, Spark, and Scala will be an added advantage.
- Should demonstrate a strong understanding of OOPS concepts and methodologies
- Expert level understanding of data engineering
- Intrinsic motivation and problem-solving
- Proactive leadership, project management, time management, and problem-solving skills
- Demonstrated continuous improvement, process documentation, and workflow skills
- Extensive experience with data analysis , modeling, and data pipelining including data cleaning, standardizing, scaling, tuning, scheduling and deployment
- Experience composing detailed technical documentation and procedures for data models
- Ability to prioritize and manage multiple projects, tasks, and meeting deadlines while maintaining quality
- Strong drive and commitment for delivering outstanding results
- Strong follow up and service orientation
Supervisory Responsibility
☒ Provides guidance, leadership, or training to junior employees
☐ Directly responsible for supervising non-exempt, clerical, or office administrative personnel
☐ Directly responsible for supervising exempt, professional, or technical employees
☒ Directly responsible for supervising supervisory/managerial employees
Organizational Structure:
Job Title this position reports: Manager, Data Engineering
Job Number: 5557
Community / Marketing Title: Senior Data Engineer