Data Engineer

2 days ago


india, IN Magma Consultancy Part time

Location: Remote

Type: Part-time (20–25 hours per week)


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.


Key Responsibilities
  • Design, develop, and maintain ETL/ELT pipelines to collect, process, and store data from multiple sources.
  • Build and optimize data models and warehouse structures for analytics and reporting.
  • Ensure data quality, integrity, and security across all stages of the data lifecycle.
  • Collaborate with stakeholders to understand data requirements and provide scalable solutions.
  • Automate repetitive processes to improve performance and reliability.
  • Monitor, troubleshoot, and resolve issues within data workflows and integrations.


Required Skills & Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 2–4 years of experience in data engineering, data architecture, or a related role.
  • Proficiency in SQL and one or more programming languages (Python preferred).
  • Hands-on experience with data pipeline tools (e.g., Airflow, dbt, Luigi).
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Knowledge of data warehousing (e.g., Snowflake, BigQuery, Redshift).
  • Understanding of APIs, JSON, REST, and data integration techniques.
  • Familiarity with version control (Git) and CI/CD workflows.


Preferred (Nice to Have)
  • Experience with data visualization tools (Power BI, Tableau, Looker).
  • Exposure to machine learning pipelines or data lake architectures.
  • Prior experience in a part-time or remote setup.


What We Offer
  • Flexible working hours (ideal for professionals balancing other commitments).
  • Remote-first environment with collaborative tools.
  • Opportunity to work with modern data technologies.
  • Supportive and growth-focused team culture.



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