Job Summary:
We are looking for a motivated Junior Data Engineer to join our team. The ideal candidate will support data capture, extraction, clean-up, conditioning, validation, QA/QC, and data loading into relevant databases/applications. This role also involves data migration, analysis, processing, and maintenance activities.
Key Responsibilities:
- Data Capture and Extraction: Assist in capturing and extracting data from various sources.
- Data Clean-up and Conditioning: Clean and condition raw data to ensure its quality and usability.
- Data Validation and QA/QC: Perform data validation and quality assurance/control to maintain data integrity.
- Data Loading: Load processed data into relevant databases and applications.
- Data Migration: Support data migration activities to transfer data between systems.
- Data Assessment and Analysis: Conduct data assessment, analysis, and processing.
- Statistical Analysis: Perform basic statistical calculations and analysis.
- Data Searching: Search for relevant data residing with business users.
- Data Preparation and Delivery: Prepare and deliver data as requested by business users, adhering to agreed OLA/SLA.
- Data Correction and Conversion: Perform data correction and conversion based on predefined attributes.
- Data Operations Maintenance: Assist in maintaining data operations on identified databases and applications.
- Communication: Communicate with stakeholders as and when required.
Required Qualifications:
- Education: Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.
- Technical Skills: Proficiency in SQL and a programming language such as Python or R.
- Data Tools: Familiarity with data processing tools and techniques.
- Analytical Skills: Strong analytical and problem-solving abilities.
- Communication Skills: Good written and verbal communication skills.
- Attention to Detail: High level of accuracy and attention to detail in data work.
Preferred Qualifications:
- Experience: Internship or project experience in data engineering or related roles.
- Software Knowledge: Exposure to data analytics tools and technologies.
- Certifications: Relevant certifications in data management or programming.
Personal Attributes:
- Curiosity: A strong desire to learn and stay updated with new technologies and trends in data science.
- Team Player: Ability to work collaboratively in a team environment.
- Time Management: Ability to manage multiple tasks and meet deadlines.