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Data Engineer

Magma ConsultancyIndia, India

7 days ago

Job description

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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Data Engineer • India, India

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