Cloud Engineer / Data Engineer

We are seeking a motivated and detail-oriented Cloud Engineer / Data Engineer to join our technology team. The ideal candidate will assist in designing, developing, implementing, and maintaining cloud-based infrastructure and data processing solutions. This role involves working with cloud platforms, data pipelines, databases, automation tools, and distributed systems to support business intelligence and data-driven applications.

Key Responsibilities

• Assist in designing, deploying, and maintaining cloud-based infrastructure using AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
• Develop and maintain data pipelines for collecting, processing, transforming, and storing large datasets.
• Work with structured and unstructured data across multiple data sources.
• Support cloud storage, computing, networking, and database services.
• Build and maintain ETL/ELT workflows for data integration and transformation.
• Implement data processing solutions using Python, SQL, and Spark.
• Assist in managing data warehouses, data lakes, and cloud databases.
• Monitor cloud infrastructure, data pipelines, and system performance.
• Collaborate with software developers, data analysts, and engineering teams.
• Automate data workflows and infrastructure provisioning.
• Troubleshoot data quality, pipeline failures, and cloud infrastructure issues.
• Maintain technical documentation and follow data security and governance practices.

Required Technical Skills

| Skill Category | Technologies | |----------------------|-----------------------------------------------------| | Cloud Platforms | AWS, Azure, Google Cloud (Google Cloud Platform) | | Programming | Python, SQL, Java | | Data Processing | Apache Spark, PySpark, Hadoop | | ETL/ELT Tools | Azure Data Factory, AWS Glue, Informatica | | Databases | MySQL, PostgreSQL, SQL Server, MongoDB | | Data Warehousing | Snowflake, Amazon Redshift, Google BigQuery | | Cloud Storage | Amazon S3, Azure Blob Storage, Google Cloud Storage | | Data Pipeline | Apache Airflow, Kafka, Databricks | | DevOps \& Automation | Git, Docker, Jenkins, Terraform | | Operating Systems | Linux, Windows |

Educational Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Software Engineering, or a related field.
• Entry Level Candidates and entry-level candidates with relevant academic projects, internships, or hands-on technical experience are encouraged to apply.

Preferred Qualifications

• Basic understanding of cloud architecture and distributed computing.
• Familiarity with ETL/ELT processes and data integration.
• Knowledge of data modeling and database optimization.
• Understanding of data lakes and data warehouse concepts.
• Exposure to cloud security, IAM, and access management.
• Familiarity with Agile and Scrum methodologies.
• Understanding of data governance and data quality practices.

Key Competencies

• Analytical and problem-solving skills.
• Strong programming and SQL fundamentals.
• Understanding of cloud computing concepts.
• Data processing and troubleshooting abilities.
• Good communication and teamwork.
• Ability to work in a collaborative technical environment.