Remote Senior Data Base Engineer

Description:

• We are looking for an experienced and passionate Senior Data Engineer to join our growing data team.
• In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and systems to support a wide range of analytics and business intelligence solutions.
• You will work closely with cross-functional teams including data scientists, analysts, and engineers to provide data solutions that drive key business decisions.
• The ideal candidate should have strong experience in data architecture, ETL/ELT processes, cloud technologies, and data warehousing.
• Key responsibilities include designing, developing, and optimizing data pipelines to extract, transform, and load (ETL/ELT) data from a variety of sources.
• You will build and manage data models and data warehouses that support business intelligence, reporting, and analytics needs.
• Leveraging cloud technologies such as AWS, Azure, or Google Cloud Platform for building scalable, reliable, and efficient data solutions is essential.
• You will develop and maintain automated data workflows using tools like Airflow, AWS Glue, Azure Data Factory, or similar technologies.
• Working with large datasets and complex data structures, ensuring data quality, integrity, and performance is a key part of the role.
• Writing and optimizing SQL queries for complex data extraction, aggregation, and transformation tasks is required.
• You will integrate APIs to connect data sources, extract information, and facilitate real-time data processing.
• Collaborating with business intelligence and data science teams to define data requirements and ensure the availability of clean, accurate data for analysis and decision-making is crucial.
• Implementing CI/CD pipelines for automated deployment of data pipelines and models is part of the responsibilities.
• Monitoring the performance of data systems, ensuring reliability, availability, and scalability of data architectures is expected.
• Creating and maintaining comprehensive documentation for data pipelines, systems, and processes is necessary.
• Staying up to date with emerging trends and technologies in the data engineering field and continuously improving data systems is important.

Requirements:

• Solid experience as a Data Engineer or similar role in data architecture and pipeline development is required.
• Strong experience with cloud platforms such as AWS, Azure, or Google Cloud is necessary.
• Advanced knowledge of ETL/ELT processes, data modeling, and data warehousing (e.g., Snowflake, Redshift) is essential.
• Proficiency in SQL for complex data transformation and querying is required.
• Hands-on experience with data pipeline orchestration tools like Azure Data Factory, Apache Airflow, AWS Glue, or similar is necessary.
• Strong programming skills in Python for automation, data processing, and integration tasks are required.
• Experience working with big data technologies such as Hadoop, Spark, or Kafka is a plus.
• Familiarity with GitHub for version control and CI/CD pipelines for deployment automation is necessary.
• A strong understanding of data security, governance, and compliance best practices is required.
• Experience with business intelligence tools such as Tableau, Power BI, or similar for reporting and data visualization is essential.
• The ability to work in an agile, fast-paced environment and manage multiple tasks simultaneously is necessary.

Benefits:

• Opportunity to work on cutting-edge data engineering projects with the latest cloud technologies is provided.
• You will be part of an innovative and collaborative team driving data-driven decision-making.
• A competitive salary and comprehensive benefits package are offered.
• Opportunities for career growth and professional development are available.
• You will work in an agile environment, where your contributions make a direct impact on the business.