
Data Engineer
6 days ago
We are seeking a skilled Entry-Level Data Engineer with 5–6 months of relevant experience who is eager to grow and learn in a dynamic environment.
- The role involves building and maintaining ETL data pipelines, working with cloud-based data storage, and supporting the engineering team in developing reliable, high-quality data solutions.
In this role, you will:
- Build and maintain lightweight ETL data pipelines using Python, SQL, and Windows PowerShell; assist in scheduling, monitoring, and failure recovery.
- Develop data transforms and ingestion scripts for cloud storage/warehousing (e.g., Azure Data Lake, SQL Database); document workflows and data lineage.
- Implement data quality checks (validations, deduplication, schema checks) and support performance tuning of queries/pipelines.
- Collaborate with senior engineers to productionize notebooks/scripts, parameterize configurations, and follow Git-based CI/CD practices.
- Assist in day-to-day data operations and troubleshooting to ensure smooth functioning of data flows.
To be successful in this role, you should have:
- 5–6 months of experience in Data Engineering / ETL development.
- Strong knowledge of Python, SQL, and familiarity with Windows PowerShell.
- Understanding of cloud data platforms (preferably Azure Data Lake & SQL Database).
- Basic knowledge of data quality techniques (validation, deduplication, schema checks).
- Familiarity with Git/GitHub and version control practices.
- Strong analytical and problem-solving skills with a willingness to learn and grow.
You can expect:
- A competitive compensation package.
- Professional training and certifications.
- Paid time off and holidays.
- Bi-annual increments and bonuses.
- Opportunity for advancement.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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