Remote Senior Data Engineer

Description:

• BytePitch is seeking an experienced Senior Data Engineer to join their growing data engineering team.
• The role involves designing, building, and maintaining scalable and efficient data pipelines and infrastructure to support data-driven business initiatives.
• Responsibilities include designing and implementing robust, fault-tolerant, and scalable data pipelines using technologies such as AWS services, Snowflake, Python, and vector databases.
• The Senior Data Engineer will develop and optimize data models, ETL/ELT processes, and data transformation logic to ensure high-quality analytics dashboards.
• Collaboration with data analysts, data scientists, and business stakeholders is essential to understand requirements and translate them into technical solutions.
• The role also involves automating data ingestion, processing, and delivery workflows to improve efficiency and reduce manual effort.
• Monitoring data pipeline health, identifying and resolving issues, and implementing measures to ensure data integrity and availability are key responsibilities.
• The engineer will research and evaluate new data technologies, tools, and best practices to continuously improve data engineering capabilities.
• Contribution to the development of data engineering standards, guidelines, and documentation is expected.

Requirements:

• A minimum of 3 years of experience as a data engineer or in a similar data-focused role is required.
• Proficiency in Python and SQL, with experience in building data pipelines and ETL/ELT processes is essential.
• Hands-on experience with AWS services, including EC2, S3, and Glue is necessary.
• Expertise in designing and working with data warehouses such as Snowflake, Athena, and Redshift is required.
• Familiarity with vector databases and their applications in data-intensive use cases is preferred.
• Strong problem-solving and analytical skills, with the ability to think critically and creatively are essential.
• Excellent communication and collaboration skills are required to work effectively with cross-functional teams.
• A Master’s degree in Computer Science, Data Science, or a related field is a plus.
• Experience with LLM embeddings and familiarity with cloud-native data engineering best practices and architectures are advantageous.
• Exposure to machine learning and data science workflows and AWS certification are also great to have.

Benefits:

• Two types of contracts are available: Employment & Service (B2B) Agreements.
• A competitive salary will be offered based on experience.
• Additional benefits include meal allowance, health insurance, and extra days off depending on the type of contract/location.
• The position allows for fully remote work.
• Flexibility is provided to help balance personal and professional aspects of life.
• An inclusive culture is promoted where employees can be themselves and thrive professionally.
• A supportive environment for overall well-being is offered.
• A budget for training and a personalized development plan based on career paths are included.
• Opportunities to travel according to project/client needs are available.
• Face-to-face company events are organized annually to connect with colleagues and strengthen company culture.