Data Engineer  

Location: Remote 

Job Description  

Overview:  

We are seeking a highly skilled and motivated Data Engineer to join our innovative team. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of our data systems and solutions.  

Responsibilities  

Data Pipeline Development  

• Design, implement, and optimize end-to-end data pipelines for ingesting,  
• processing, and transforming large volumes of structured and unstructured data.  
• Develop robust ETL (Extract, Transform, Load) processes to integrate data from  
• diverse sources into our data ecosystem.  
• Implement data validation and quality checks to ensure accuracy and consistency.  

Data Modeling and Architecture  

• Design and maintain data models, schemas, and database structures to support analytical and operational use cases.  
• Optimize data storage and retrieval mechanisms for performance and scalability. 
• Evaluate and implement data storage solutions, including relational databases, NoSQL databases, data lakes, and cloud storage services.  

Data Integration and API Development  

• Build and maintain integrations with internal and external data sources and APIs.  
• Implement RESTful APIs and web services for data access and consumption.  
• Ensure compatibility and interoperability between different systems and platforms.  

Data Infrastructure Management  

• Configure and manage data infrastructure components, including databases, data warehouses, data lakes, and distributed computing frameworks.  
• Monitor system performance, troubleshoot issues, and implement optimizations to enhance reliability and efficiency.  
• Implement data security controls and access management policies to protect sensitive information.  

Collaboration and Documentation  

• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored solutions.  
• Document technical designs, workflows, and best practices to facilitate knowledge sharing and maintain system documentation.  
• Provide technical guidance and support to team members and stakeholders as needed.  
• Collaborate with analysts and platform teams; participate in reviews, sprints, POCs, and reusable frameworks 

Requirements:  

• Bachelor’s or master’s degree in computer science, Information Systems or related fields 
• Proven experience in data engineering, software development, or related roles.  
• Proficiency in programming languages commonly used in data engineering (e.g., Python, PySpark,Java, Scala, etc.).  
• Strong knowledge of database systems, data modeling techniques, and SQL proficiency (e.g., Snowflake, MS Fabric, SQL Server, Oracle, Azure SQL).  
• Proficiency with ETL tools commonly used in data engineering (e.g., Informatica, Databricks, Azure Data Factory).  
• Experience with dashboard and reporting tools (e.g., Tableau, Power BI, Looker, etc.).  
• Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka, etc.).  
• Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform, etc.).  
• Excellent problem-solving skills and attention to detail.  
• Effective communication and collaboration skills in a team-oriented environment.  
• Ability to adapt to evolving technologies and business requirements.  

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.