Job Summary

Global MNC Tech is seeking a highly skilled Data Lake Engineer to design, implement, and manage large-scale data lake solutions within a dynamic, cloud-first environment. The ideal candidate will have deep expertise in big data architecture, data ingestion, processing, and governance. This remote role offers the opportunity to work with cutting-edge technologies to support enterprise-wide analytics, reporting, and AI initiatives.

The Data Lake Engineer will play a crucial role in transforming raw data into accessible, high-quality information, enabling strategic decision-making across multiple business domains.

Key Responsibilities

• Design, develop, and maintain enterprise-scale data lakes on cloud platforms such as AWS, Azure, or GCP.

• Implement robust ETL/ELT pipelines to ingest, transform, and organize structured, semi-structured, and unstructured data.

• Optimize data storage, retrieval, and query performance for large datasets, ensuring high availability and scalability.

• Collaborate with data architects, data engineers, and data scientists to define standards, governance, and best practices.

• Monitor, troubleshoot, and resolve data pipeline issues, ensuring data accuracy, consistency, and security.

• Develop automated data quality checks, metadata management, and auditing processes.

• Support analytics and machine learning initiatives by providing clean, structured, and timely datasets.

• Stay up-to-date with emerging big data technologies and recommend improvements to current data lake architecture.

Required Skills and Qualifications

• Bachelors or Masters degree in Computer Science, Information Systems, Data Engineering, or a related field.

• Strong proficiency in big data technologies: Apache Spark, Hadoop, Hive, Kafka, Delta Lake, or equivalent.

• Hands-on experience with cloud data platforms: AWS (S3, Glue, EMR), Azure (Data Lake, Databricks), or GCP (BigQuery, Dataflow).

• Solid knowledge of data modeling, schema design, and metadata management.

• Expertise in programming languages such as Python, Java, or Scala for data processing.

• Familiarity with data governance, security, and compliance standards (GDPR, HIPAA, SOC2).

• Strong analytical and problem-solving skills with attention to detail.

• Excellent communication and collaboration skills to work effectively in a distributed team.

Experience

• Minimum of 4–6 years of experience in data engineering, with at least 2 years focused on data lake architecture.

• Proven experience in designing, implementing, and optimizing enterprise-scale data lakes.

• Experience integrating multiple data sources and working with streaming data pipelines.

• Prior experience in cloud-based projects and working in agile environments is highly preferred.

Working Hours

• Full-time remote position.

• Flexible working hours with occasional requirement to collaborate across multiple time zones.

Knowledge, Skills, and Abilities

• Strong understanding of data warehousing vs. data lakes and hybrid architectures.

• Ability to troubleshoot complex data pipeline issues and recommend scalable solutions.

• Capacity to write clean, efficient, and reusable code for data ingestion and transformation.

• Excellent organizational skills with the ability to prioritize tasks and manage multiple projects simultaneously.

• Self-motivated, proactive, and capable of working independently in a remote environment.

Benefits

• Competitive salary and performance-based incentives.

• Flexible remote work policy and global collaboration opportunities.

• Health, dental, and vision insurance coverage.

• Generous paid time off and parental leave programs.

• Professional development and training allowances.

• Access to cutting-edge big data technologies and tools.

Why Join Global MNC Tech?

At Global MNC Tech, we empower our teams to innovate, experiment, and grow in a collaborative, inclusive environment. As a Data Lake Engineer, you will have the opportunity to work on challenging projects that impact business-critical decisions worldwide. Join us to shape the future of enterprise data and analytics while advancing your career in a forward-thinking, technology-driven organization.

How to Apply

Interested candidates should submit their resume and a cover letter highlighting relevant experience via the Global MNC Tech careers portal or email us with the subject line: Data Lake Engineer – Remote Application.