Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Estuate Inc., is seeking the following. Apply via Dice today! Lead Data Engineer SUMMARY The Lead Data Engineer will play a crucial role in designing, implementing, and maintaining robust data pipelines and architectures. This position requires a forward thinking approach to solve complex data challenges and support our advanced AI and machine learning initiatives. As a Lead Data Engineer, you will be responsible for building, and optimizing data pipelines, data warehouses, and data lakes to support business initiatives. You will collaborate with cross-functional teams, including data scientists, business analysts, and IT departments, to develop and implement data-driven solutions that provide business value. Essential Duties And Responsibilities Include the following. Other duties and special projects may be assigned. Design, develop, and optimize data pipelines using AWS services such as Lambda, Glue, Redshift, and Athena. Collaborate with data scientists and business analysts to support AI and machine learning projects using AWS SageMaker and Bedrock. Implement and maintain data visualization solutions using Tableau and Amazon QuickSight. Develop and maintain data models, data warehouses, and data lakes to support business initiatives. Develop and consume APIs for eAicient data integration and pipeline development. Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Work closely with business stakeholders to gather requirements and translate them into technical solutions. Ensure data quality, governance, and security standards are met throughout all data processes. Work in a team environment, using Agile and Scrum methodologies. Communicate complex ideas eAectively, both verbally and in writing. Anticipate future needs and develop solutions that are robust and future-proof. Perform root cause analysis on internal and external data processes to identify opportunities for improvement. EDUCATION Bachelor''s Degree in Computer Science, Data Science, or a related field. Experience 5+ y ears of work experience in data management disciplines, including data integration, modeling, optimization, and data quality. Experience with popular database programming languages, including SQL and PL/SQL for relational databases. Strong experience with Cybersecurity / cyber data. Strong experience with advanced analytics tools for object-oriented/object function scripting using languages such as Python. Experience with AWS data services (eg, Lambda, Glue, Redshift, Athena).