Data Engineer – Intern

Job not on LinkedIn

🕒 March 31

🇮🇳 India – Remote

👨‍🎓 Internship

⚪️ Entry-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 52%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mactores

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2008

💼 Consulting

🏢 Enterprise

Consulting • Enterprise • Data

Mactores is a company that provides end-to-end data platform solutions aimed at accelerating business value through automation. Since 2008, Mactores has been helping businesses with digital transformation, offering services like Enterprise Data Lakes, Scalable Databases, Modern Data Warehouses, Automated DataOps, MLOps, and Generative AI solutions. They focus on enabling faster and cost-effective migrations and modernizations in data analytics, partnering with leading platforms to drive innovation and success. Mactores works alongside tech teams to strategize and implement the right data solutions timely and efficiently.

📋 Description

• Write efficient code in the technology chosen for the project, such as Spark or Apache Beam • Explore new technologies and techniques to solve business problems creatively • Collaborate across engineering and business teams to build data products and services • Deliver projects with the team and keep customers updated on time • Write real pipeline code on projects involving data platform modernization on AWS • Work with business leads, analysts, and data scientists to understand the domain • Work with engineers to build data products that improve decision-making • Learn agent-native data platform modernization, including Spark, ETL design, and data quality decisions • Work under mentorship and contribute to projects without owning cutover decisions

🎯 Requirements

• Exposure to Apache Spark • Exposure to ETL concepts using PySpark and SparkSQL • Exposure to SQL queries and stored procedures • Prior experience working on AWS EMR and Apache Airflow (preferred) • AWS Certified Big Data – Specialty, Azure Certification, or Snowflake Certification (preferred) • Cloudera or Hortonworks Certified Big Data Engineer (preferred) • Understanding of DataOps Engineering (preferred)

🏖️ Benefits

• Equal opportunities in all employment practices • Non-discrimination protections covering race, religion, gender, national origin, age, disability, marital status, military status, genetic information, and other legally protected categories