Data Engineer

We are seeking a skilled and detail-oriented Data Engineer with approximately 3 years of experience to join our dynamic team. The ideal candidate will have a strong understanding of data engineering principles, data architecture, ETL processes, and cloud-based data platforms. You will play a key role in designing, developing, and maintaining scalable data pipelines and ensuring the availability, reliability, and integrity of data to support business intelligence, analytics, and operational needs., * Design, develop, and maintain scalable and efficient ETL/ELT data pipelines for ingesting, transforming, and loading data from multiple sources.

• Build and optimize data architectures, databases, and data warehouses to support reporting, analytics, and business intelligence initiatives.
• Develop and maintain data integration solutions using SQL, Python, and other relevant programming languages.
• Collaborate with business stakeholders, data analysts, data scientists, and software development teams to understand data requirements and deliver appropriate solutions.
• Monitor, troubleshoot, and optimize data pipelines to ensure high performance, reliability, and data quality.
• Implement data validation, cleansing, and governance processes to ensure data accuracy, consistency, and compliance.
• Develop and maintain data models, metadata, and documentation for data assets and workflows.
• Support the implementation of cloud-based data platforms and modern data engineering technologies.
• Ensure compliance with data security, privacy, and regulatory requirements.
• Participate in code reviews, testing, deployment, and continuous improvement of data engineering processes.
• Monitor system performance and resolve data-related issues in a timely manner.
• Stay up to date with emerging technologies and industry best practices in data engineering and recommend improvements where appropriate.

• Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
• Approximately 3 years of experience as a Data Engineer or in a similar data-focused technical role.
• Strong proficiency in SQL and experience with relational and NoSQL databases.
• Experience developing ETL/ELT pipelines using industry-standard tools and frameworks.
• Proficiency in Python, Scala, Java, or another programming language used for data engineering.
• Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Familiarity with data warehousing concepts and modern data architectures.
• Experience with version control systems such as Git.
• Knowledge of Agile/Scrum software development methodologies.
• Strong analytical, problem-solving, and communication skills.
• Ability to manage multiple priorities in a fast-paced environment.

Preferred Skills (Optional)

• Experience with Apache Spark, Hadoop, Kafka, Airflow, Databricks, Snowflake, or similar big data technologies.
• Experience with cloud data services such as AWS Redshift, Azure Synapse Analytics, Azure Data Factory, Google BigQuery, or Amazon S3.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience with data governance, data quality, and master data management.
• Relevant certifications such as AWS Certified Data Engineer, Microsoft Azure Data Engineer Associate, Google Professional Data Engineer, or Databricks Certified Data Engineer.