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DATA ENGINEER
Job Location:
Monthly Salary:
Experience Required:
Posted:
17 October 2026 (2 hours ago)
Posted:
Application Deadline:
14 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Role Overview
We are seeking a highly skilled Data Engineer to join our IT Services this pivotal role you will be responsible for architecting building and maintaining robust data infrastructure that empowers our organization to leverage its data assets effectively. You will play a critical part in ensuring data accuracy accessibility and efficiency across our cloud environments directly supporting strategic decision-making and operational excellence.
Key Responsibilities
- Design develop and deploy scalable data pipelines and integration solutions across major cloud platforms including AWS Azure or GCP.
- Execute complex data transformation processes to convert raw data into usable formats for analysis and reporting.
- Implement and monitor data quality frameworks to ensure the integrity consistency and reliability of all data assets.
- Optimize database queries and data models to enhance system performance and reduce latency.
- Engineer end-to-end ETL and ELT workflows to facilitate seamless data movement between diverse sources and destinations.
- Continuously improve data architecture to support growing business needs and emerging analytical requirements.
Qualifications and Skills
- Possess 4 to 7 years of professional experience in data engineering within the IT Services sector.
- Demonstrated expertise in working with cloud-based data platforms (AWS Azure or GCP).
- Proficiency in developing and managing data integration transformation and pipeline monitoring tools.
- Strong command of query optimization techniques and advanced data modeling principles.
- Proven track record in building and maintaining ETL/ELT processes and data pipelines.
- Ability to translate business requirements into technical data solutions with a focus on scalability and performance.
Compensation
- Competitive annual salary package of 17 LPA.
Required Skills:
PRIMARY SKILLS SQL & Python ETL/ELT Development Data Pipeline Development Data Modelling SECONDARY SKILLS Cloud Data Platforms (AWS/Azure/GCP) Data Integration & Transformation Query Optimization Data Quality & Pipeline Monitoring
Required Education:
Bachelors degree in computer science Engineering or related field
