Data Engineer - Senior

Lumenalta; Angola (IN); Remote; USD 100,000 - 130,000; Full time

Job summary

A leading company in IT services is seeking a Senior Data Engineer to join their fully remote team. The role involves designing and maintaining ETL pipelines, while ensuring data quality across systems. The ideal candidate will have extensive experience with data processing tools in a collaborative environment. Join us to make a significant impact on large-scale projects that reach millions of users worldwide.

Qualifications

• 7+ years of experience as a Data Engineer.
• Strong skills in Python or Java for data processing.
• Proficient in SQL, especially for querying large datasets.

Responsibilities

• Design, build, and maintain reliable ETL pipelines from the ground up.
• Work with large, complex datasets using Python or Java and raw SQL.
• Collaborate with data analysts and product managers to deliver actionable data.

Skills

Python

Java

SQL

Data processing

Data modeling

Agile methodology

Cloud storage

Job description

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We help global enterprises launch digital products that reach millions of users. Our projects involve massive datasets, complex pipelines, and real-world impact across industries.

What You’ll Do

• Join the team as a Senior-Level Data Engineer
• Design, build, and maintain reliable ETL pipelines from the ground up
• Work with large, complex datasets using Python or Java and raw SQL
• Build scalable, efficient data flows and transformations
• Collaborate with data analysts, product managers, and developers to deliver actionable data to stakeholders
• Ensure data quality, consistency, and performance across systems

What We’re Looking For

• 7+ years of experience as a Data Engineer
• Strong skills in Python or Java for data processing
• Proficient in SQL, especially for querying large datasets
• Experience with batch and/or stream data processing pipelines
• Familiarity with cloud-based storage and compute (e.g., AWS S3, EC2, Lambda, GCP Cloud Storage, etc.)
• Knowledge of data modeling, normalization, and performance optimization
• Comfortable working in agile, collaborative, and fully remote environments
• Fluent in English (spoken and written)

Nice to Have (Not Required)

• Experience with Airflow, Kafka, or similar orchestration/message tools
• Exposure to basic data governance or privacy standards
• Unit testing and CI/CD pipelines for data workflows

This job is 100% Remote – please ensure you have a comfortable home office setup in your preferred work location.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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