Data Engineer

Overview

The objectives of a Data Engineer typically revolve around designing, implementing, and managing robust data architectures and infrastructures. The Data Engineer will play a key role in driving the organization's data strategy, ensuring the efficient flow and storage of data, and supporting data-driven decision-making processes.

Duties & Responsibilities

• Data Model Design:
• Develop and maintain a scalable and efficient data models and schemas that support the storage, processing, and retrieval of data.
• Data Integration:
• Implement robust ELT (Extract, Load, Transform) processes to integrate data from various sources into a unified and consistent format.
• Ensure seamless data flow between different systems, databases, and applications.
• Data Quality:
• Implement data validation and cleansing processes to ensure the accuracy and reliability of data.
• Emerging Technologies:
• Stay abreast of emerging technologies and trends in the field of data engineering.
• Database Management:
• Manage and optimize database systems, including relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Performance Optimization:
• Identify and address performance bottlenecks in data processing and storage systems.
• Optimize queries, indexing strategies, and data partitioning for improved performance.
• Scalability and Reliability:
• Ensure that data systems are scalable to handle growing volumes of data.
• Implement redundancy and fault-tolerance measures to enhance data system reliability.
  
  

• Strong hands-on expertise with AWS services such as S3, Glue, Lambda, Athena, Redshift, Step Functions, Streaming tools like Apache Kafka \ Amazon Kinesis.
• Proficiency in Python, PySpark, experience with ELT and orchestration tools
• Strong hands-on expertise on Apache Hudi \ Apache Iceberg
• Strong hands-on expertise In SQL
• Experience using GitHub for version control and collaboration
• Develop, optimize, and maintain ELT processes for data integration.
• Strong communication skills to interface with technical and business stakeholders.
  
  

• Knowledge of cloud infrastructure automation (e.g., Terraform, CloudFormation).
• Experience with DevOps CICD pipelines and source code management.
• AWS Certification, experience in platform automation and monitoring frameworks.
  
  

• Bachelor’s degree (B.A.) from four-year college or university, or equivalent combination of education and experience.
• 7+ years of experience in data engineering or a related role
• Proficient in data modeling, ELT development, and database management.
• Experience with big data technologies and distributed computing frameworks