Data Specialist

As a Data Specialist you will support the design and development of scalable backend data solutions bridging modern data engineering with business analytics needs. The role focuses on building robust ETL pipelines backend data workflows and data models using Python and related technologies while also supporting analytics and exploratory initiatives.

You will work with structured and unstructured data sources optimize data processing and contribute to research experimentation and emerging AI/ML-driven use cases that improve operational performance and decision-making.

Key Duties & Responsibilities

1. Support Data Engineering
Assist in the end-to-end design development and scheduling of scalable ETL / ELT pipelines and backend data workflows using Python and related technologies.

2. Backend Development
Build and maintain backend data processing logic APIs automation scripts and integration workflows to support data movement and transformation.

3. Analyze Needs
Collaborate with business and technical stakeholders to understand data requirements assess current reporting/data workflows and propose improved technical solutions.

4. Build Foundational Data
Create datasets attributes metrics and backend data models by writing optimized SQL queries transformation logic and validation routines.

5. Optimize Data Access
Help organize and optimize data sources database structures and data extraction mechanisms to improve efficiency reliability and scalability.

6. Problem Solving & Troubleshooting
Act as a technical resource for troubleshooting backend data issues ETL failures data inconsistencies and performance bottlenecks.

7. Research & Innovation
Participate in research experimentation and prototyping around modern data technologies automation and emerging engineering practices.

8. AI / ML Support
Support AI / Machine Learning experimentation proof-of-concepts or data preparation tasks where required.

9. BI & Reporting Support
Collaborate with reporting teams to provide clean structured datasets for dashboards analytics and business reporting.

Job Specifications

Minimum Job Qualifications Requirement (Academic training languages etc.)

Education

• BSc in Computer Science Software Engineering Data Science Engineering or a relevant technical field

Minimum Work Experience

• 15 years of relevant experience
• Strong technically capable junior candidates may also be considered

Skills & Specifications

Programming Languages

• Strong hands-on Python
• SQL
• PySpark (preferred)

Data Engineering / ETL

• ETL / ELT pipeline development
• Data transformation and automation
• Backend workflow development
• API integration / data ingestion

Databases

• MSSQL
• PostgreSQL
• MySQL
• IBM DB2 (good to have)

Data Warehousing & Modeling

• Data Modeling
• Dimensional Modeling
• Star Schema Design
• Data Pipeline Optimization

Cloud Platforms

• Azure / AWS / GCP exposure preferred
• Databricks exposure is a plus but not mandatory

AI / ML Exposure

• Basic AI / ML understanding
• Data preparation for AI/ML workflows
• Experimental / R&D mindset

Reporting / Analytics

• Power BI / Tableau (supporting capability)

Other Technologies

• Docker / containerization (good to have)
• Windows / Linux environments
• Networking fundamentals