Description:

Support the development and maintenance of data pipelines, ingestion processes, and data transformations.
Create and maintain SQL queries, Python scripts, and Spark-based workloads for data processing and analytics.
Assist in troubleshooting pipeline failures, data quality issues, and operational incidents.
Work with senior engineers on schema mappings, transformation logic, and data validation rules.
Ensure datasets meet expected schemas, data contracts, and quality standards.
Support metadata management, dataset documentation, and lineage activities.
Help automate operational and data management tasks to improve efficiency.
Contribute to monitoring, alerting, and operational support for data workflows.
Participate in testing activities, including unit tests and data quality checks.
Follow established engineering standards and coding practices.
Learn and apply security, privacy, and compliance requirements for sensitive data.
Collaborate with Data Governance, Security, and Compliance teams as needed.
Contribute to continuous improvement initiatives focused on data trust and operational excellence.

Requirements:

Bachelor's degree in Computer Science, Engineering, Data Science, or related fields.
Basic to intermediate English proficiency.
Up to 2 years of experience in Data Engineering, Software Engineering, or Data Analytics.
Knowledge of SQL and Python.
Understanding of ETL/ELT concepts and data transformation processes.
Familiarity with relational databases and data warehousing concepts.
Basic knowledge of Spark, Databricks, or distributed data processing frameworks.
Familiarity with Git and version control workflows.
Basic understanding of cloud platforms (AWS, Azure, Google Cloud).
Knowledge of automation concepts and operational efficiency scripting.
Basic understanding of data quality concepts and validation practices.
Familiarity with data governance principles and data classification concepts.
Understanding of data lineage and traceability concepts.
Awareness of security best practices.
Strong analytical, problem-solving, and communication skills.
Willingness to learn new technologies and collaborate across teams.

Skills