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Job Description
About The Company
Magma Consultancy is a dynamic and innovative firm dedicated to providing comprehensive data solutions to a diverse range of clients across various industries. With a focus on leveraging cutting-edge technologies and best practices, Magma Consultancy strives to empower organizations through data-driven insights and scalable architectures. Our team is composed of passionate professionals committed to excellence, continuous learning, and delivering impactful results. We prioritize fostering a collaborative environment where creativity and technical expertise thrive, ensuring our clients receive tailored solutions that meet their unique business needs.
About The Role
We are seeking a skilled Data Engineer to support our growing data operations on a part-time basis. The ideal candidate has hands-on experience in building, optimizing, and maintaining data pipelines and architectures. You'll work closely with analysts, developers, and business teams to ensure reliable, efficient, and scalable data systems. This role offers an excellent opportunity for professionals looking to contribute to innovative projects while maintaining flexibility in their work schedule. As a vital part of our data team, you will play a key role in transforming raw data into actionable insights, supporting strategic decision-making, and enhancing our data infrastructure.
Qualifications
The ideal candidate will possess a bachelor's degree in Computer Science, Engineering, or a related field. You should have between 2 to 4 years of experience in data engineering, data architecture, or similar roles. Proficiency in SQL and at least one programming language such as Python is essential. Experience with data pipeline tools like Airflow, dbt, or Luigi is required, along with familiarity with cloud platforms such as AWS, Azure, or GCP. Knowledge of data warehousing solutions like Snowflake, BigQuery, or Redshift is important. Additionally, understanding APIs, JSON, REST, and data integration techniques will be beneficial. Candidates should also have experience with version control systems like Git and CI/CD workflows to ensure smooth development and deployment processes.
Responsibilities
The Data Engineer will be responsible for designing, developing, and maintaining ETL/ELT pipelines to collect, process, and store data from multiple sources. Building and optimizing data models and warehouse structures for analytics and reporting is a core component of this role. Ensuring data quality, integrity, and security throughout the data lifecycle is paramount. The candidate will collaborate with stakeholders to understand their data requirements and develop scalable, efficient solutions to meet those needs. Automating repetitive processes to improve system performance and reliability is also expected. Monitoring, troubleshooting, and resolving issues within data workflows and integrations will be ongoing tasks to maintain high system availability and performance.
Benefits
At Magma Consultancy, we offer a range of benefits designed to support our employees' professional growth and work-life balance. Our flexible working hours accommodate professionals managing other commitments, making this role ideal for those seeking part-time engagement. The remote-first environment ensures you can work from anywhere, leveraging collaborative tools to stay connected with the team. You will have the opportunity to work with modern data technologies, gaining valuable experience in a fast-paced, innovative setting. Our supportive and growth-focused team culture encourages continuous learning, mentorship, and career development, ensuring you can thrive both personally and professionally.
Equal Opportunity
Magma Consultancy is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected characteristic. We believe that a diverse workforce enhances our ability to serve our clients effectively and fosters a culture of innovation and respect. All qualified applicants will receive consideration for employment without regard to any protected status.
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