Data Engineer

Overview

An international technology-driven organization is seeking a Data Engineer to design, build, and maintain scalable data pipelines using a modern data stack. The role involves working with cloud infrastructure, ETL processes, and data architecture to empower data-driven decision-making across the business.

Main Responsibilities

• Develop, optimize, and maintain robust data infrastructure using tools like AWS, Databricks, DBT, and Power BI.

• Build ELT pipelines using Python, SQL, and Apache Spark, integrating data from diverse sources.

• Implement data governance standards, including quality controls and monitoring, to ensure integrity, compliance, and security.

• Collaborate with business and technical teams to resolve data-related issues and support analytics initiatives.

• Ensure data systems are scalable and performant to meet evolving organizational needs.

Key Requirements

• Strong programming skills in Python and SQL.

• Hands-on experience with data processing technologies, including Apache Spark, Hadoop, and Kafka.

• Familiarity with modern cloud-based data platforms such as Databricks, Snowflake, Redshift, or BigQuery.

• Knowledge of handling various data formats like JSON, Parquet, CSV, and XML.

• Experience building and managing batch and streaming pipelines, including change data capture (CDC) mechanisms.

• Practical knowledge of AWS services including S3, Glue, DMS, and EC2.

• Comfortable with version control systems, CI/CD practices, and documentation standards (e.g., Git, DBT, Confluence).

• Ability to work effectively within Agile teams and contribute to iterative development cycles.

• Strong communication and collaboration skills.

Nice to Have

• Familiarity with additional programming languages like R, Scala, C++, or SAS.

• Enthusiasm for data analytics, financial markets, or machine learning.

• Prior experience or interest in data science projects.

Preferred Qualifications

• Bachelors degree in Computer Science, Engineering, Mathematics, or a related STEM discipline.

If you're passionate about building innovative data solutions and contributing to a data-driven culture, wed be excited to connect with you!

Only shortlisted applicants will be contacted.

from you!