Remote Senior Data Engineer

Description:

• Design, build, and maintain scalable data pipelines and ETL processes to extract, transform, and load data from various sources into the data warehouse.
• Collaborate with cross-functional teams to understand data requirements and design efficient data models, pipelines, and schema.
• Optimize and tune database systems and queries for performance and scalability.
• Develop and implement data quality and governance processes to ensure data accuracy, consistency, and security.
• Evaluate and recommend new tools and technologies to enhance data infrastructure and analytics capabilities.
• Troubleshoot and resolve data-related issues promptly.
• Document data processes, workflows, and best practices for knowledge sharing and training.
• Stay updated with industry trends and best practices in data engineering and technology.
• Guide and mentor team members.
• Stakeholder management and leadership skills.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field.
• Minimum of 2 years of relevant experience as a Data Engineer.
• Proficiency in SQL and experience with relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB, Snowflake).
• Hands-on experience with data pipeline and ETL tools (e.g., Apache Spark, Apache Airflow).
• Proficiency in at least one programming language (e.g., Python, Java, Scala).
• Experience with cloud platforms and services (e.g., AWS) and big data technologies like Snowflake.
• Solid understanding of data warehousing concepts and methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Attention to detail and commitment to producing high-quality work.

Good to Haves:

• Relevant certifications in data engineering or related disciplines.
• Proficiency with data quality tools such as SodaCore or Great Expectations.
• Familiarity with data visualization tools like QlikSense, Tableau, Sisense, Looker, and Metabase.
• Exposure to the Fintech domain, particularly in lending or payment verticals.

Benefits:

• Flexible paid vacations and observed holidays.
• Special days off for birthdays and work anniversaries.
• Flexible working arrangements.
• Health insurance coverage for employees and dependents.
• Mental health and wellness programs including Wellness Wednesdays and well-being coaching.
• Learning and development opportunities through curated programs.
• Company laptop provided for employees with tech support.