Truelogic Software is hiring a
Senior Data Engineer

Summary

Join Truelogic's team of tech talents to drive digital disruption and achieve digital transformation goals. You will have the opportunity to work in a forward-thinking environment at a top American mortgage lender, designing, developing, and maintaining data pipelines and ETL processes using Snowflake.

Requirements

• The candidate should have a deep understanding of Snowflake data warehousing platform and be proficient in using Snowpark for data processing and analytics
• AWS services Lambda Proficiency in AWS Lambda for serverless computing and event driven architecture is essential for this role
• Strong programming skills in Python are required for developing data pipelines, data transformations and automation tasks
• DBT Experience with DBT Data Build Tool for modeling data and creating data transformation pipelines is a plus
• Bachelor's degree in Computer Science Engineering or related field
• Proven experience in data engineering roles with a focus on Snowflake AWS services
• Very good level of communication, the ability to clearly and specifically convey information
• Experience working in the Agile (Scrum) methodology, Jira is a plus
• Experience or familiarity with other cloud technologies, knowledge of PowerBI, data warehouses, data governance, and business analysis is a plus

Responsibilities

• Design, develop and maintain data pipelines and ETL processes using Snowflake
• Build data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms. Integrating and transforming data to ensure its compatibility with the target data model or format
• Design and optimize data storage architectures, including data lakes, data warehouses, or distributed file systems. Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval
• Identify and resolve bottlenecks, tuning queries, and implement strategies to enhance data retrieval speed and overall system efficiency
• Design and implement data models that support efficient data storage, retrieval, and analysis
• Collaborate with data scientists and analysts to understand their requirements and provide them with well-structured and optimized data for analysis and modeling purposes
• Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions
• Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner
• Work under Agile and Scrum development methodologies