data enginner

·         Develop and Maintain Data Pipelines: Design, build, and maintain scalable and efficient data pipelines to support data integration, transformation, and loading.

·         Data Warehousing: Manage and optimize our data warehouse, ensuring data integrity and performance.
·         ETL Processes: Implement and manage ETL processes to gather data from multiple sources, transform it into usable formats, and load it into data storage systems.
·         Data Quality Assurance: Implement data quality checks and validation processes to ensure the accuracy and reliability of data.
·         Collaboration: Work closely with senior data engineers, data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
·         Team Collaboration: Collaborate closely with the Business Intelligence (BI) team and software engineers to ensure seamless data integration and support the development of data-driven solutions.
·         Data Security and Privacy: Ensure data security and compliance with relevant regulations and company policies.
·         Performance Tuning: Monitor and optimize data pipeline performance to meet business needs and SLAs (Service Level Agreements).
·         Learning and Development: Continuously improve your technical skills and knowledge through training and mentorship from experienced team members.
Required Skills and Qualifications:
·         Bachelor’s degree in Computer Science, Engineering, or a related field.
·         Experience: Proven experience as a Data Engineer or in a similar role.
·         Technical Skills: Strong proficiency in SQL, Python, and data manipulation libraries.
·         ETL Tools: Experience with ETL tools such as Apache NiFi, Talend, or similar.
·         Data Warehousing: Familiarity with data warehousing solutions like Snowflake, Redshift, or BigQuery.
·         Cloud Platforms: Experience with cloud platforms (AWS, Azure, Google Cloud) is a plus.
·         Analytical Skills: Strong problem-solving and analytical skills.
·         Communication: Excellent communication and teamwork skills.
·         Attention to Detail: Meticulous attention to detail and a proactive approach to ensuring data accuracy.