Data Engineering Associate
3 days ago
Kadel Labs is a global software technology systems incubator. We strive to provide excellent value proposition to our clients and nurture every startup from inception to a self-sustainable corporate firm.
Job Title: Associate Software Engineer (Data Engineering)We are seeking a highly skilled Associate Software Engineer to assist in designing, building, and maintaining scalable data pipelines. The ideal candidate will have experience with RDBMS, SQL, ETL processes, and NoSQL databases like MongoDB.
Key Responsibilities:- Assist in designing and maintaining data pipelines for extracting, transforming, and loading (ETL) data from various sources.
- Manage relational databases (RDBMS) and develop optimized SQL queries for reporting and analysis.
- Work with NoSQL databases such as MongoDB, ensuring high availability and scalability.
- Collaborate with data analysts, scientists, and business stakeholders to identify data requirements.
- Monitor and optimize database performance for efficient data retrieval and transformations.
- Implement data quality checks and validation mechanisms across pipelines.
- Maintain documentation for data processes and database management practices.
- Support the use of ETL tools to ensure smooth data flow between systems.
- Follow data security, governance, and compliance best practices.
- Bachelor's degree in computer science, Information Technology, or a related field.
- 1 year of experience in data engineering, database management, or related roles.
- Proficiency in SQL and relational databases (MySQL, PostgreSQL, SQL Server, etc.).
- Familiarity with ETL tools (e.g., Pentaho, Talend, Apache Nifi, SSIS).
- Experience with NoSQL databases, specifically MongoDB.
- Strong problem-solving skills with the ability to optimize queries.
- Basic understanding of data warehousing concepts and tools.
- Familiarity with data pipelines using tools like Apache Airflow is a plus.
- Strong communication skills and ability to work in cross-functional teams.
- Preferred Qualifications:
- Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
- Basic knowledge of containerization (Docker/Kubernetes) for data services.
- Familiarity with Python or Java for data-related tasks and automation.
- Competitive salary with performance-based bonuses.
- Health insurance and wellness programs.
- Opportunities for growth and learning through training programs.
- Flexible working hours and remote work options.
- A collaborative and innovative work environment.
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