Data Engineer

1. 5+ years experience develop, and maintain scalable data pipelines and ETL processes, facilitating the seamless flow of data across our ecosystem. -
2. Collaborate closely with cross-functional teams to gather requirements, identify data sources, and deliver solutions aligned with business objectives. -
3. Harness the power of SQL Server, crafting finely-tuned queries and procedures to extract insights from our data repositories. -
4. Leverage Python's versatility to design and implement scripts, tools, and applications that streamline data processing and analysis. -
5. Champion best practices in data governance, security, and compliance, ensuring the integrity and confidentiality of our data assets. -
6. Tackle challenges head-on, troubleshooting issues related to data quality, performance, and availability with precision and efficiency. -
7. Stay ahead of the curve, staying abreast of emerging trends and technologies in data engineering and Python development.

Requirements: -

1. Bachelor's degree in Computer Science, Engineering, or a related field is required. -
2. Minimum of 5 years of hands-on experience in software engineering, with a strong emphasis on data engineering. -
3. Mastery of Python, demonstrated through a proven track record of developing sophisticated solutions and applications. -
4. Extensive proficiency in SQL Server, including advanced query optimization techniques and database design principles. -
5. Deep understanding of data modeling concepts and the ability to translate business requirements into scalable data architectures. -
6. Experience with distributed computing frameworks (e.g., Spark, Hadoop) is highly desirable. - Familiarity with cloud platforms such as AWS, Azure, or GCP is a plus. -
7. Exceptional problem-solving abilities and keen attention to detail, coupled with excellent communication and collaboration skills. -
8. A demonstrated ability to thrive in a dynamic, fast-paced environment, managing multiple priorities and delivering results under pressure.