Senior Data Engineer
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Principal Consultant: Business Intelligence & Data Analytics at Sambe ConsultingYugantic is on the hunt for a talented Senior Data Engineer to join our innovative team. If you're passionate about designing large-scale enterprise data solutions and leveraging cutting-edge AWS technologies, we want to hear from you
Key Responsibilities:
- Enterprise Data Solutions: Design and implement large-scale data solutions using AWS Glue, AWS Step Functions, AWS RedShift, AWS Lambda, AWS Athena, AWS Lake Formation, Spark, and Python.
- Cloud Migration: Analyze, re-architect, and re-platform on-premise data warehouses to AWS cloud environments using both AWS and third-party services.
- Data Pipeline Development: Build robust production data pipelines from ingestion to integration using PySpark, Python, and SQL.
- Analytical Infrastructure: Develop and maintain an analytical data infrastructure that provides ad-hoc access to extensive datasets and computing power.
- Collaborative Data Integration: Interface with cross-functional technology teams to extract, transform, and load data from diverse sources.
- Innovation & Research: Stay ahead by researching and implementing the latest big data and visualization technologies to boost capabilities and efficiency.
- Advanced Analytics: Collaborate to integrate advanced analytics, including statistical analysis, prediction, clustering, and machine learning.
- Continuous Improvement: Enhance reporting and analysis processes by automating and simplifying self-service customer support.
Experience & Skills:
- Core Expertise: Advanced knowledge in Data Engineering and modern data practices.
- System Design: Proven experience in building/operating highly available, distributed systems for data extraction, ingestion, and processing of large datasets.
- Data Analysis: Strong analytical skills with the ability to work with unstructured datasets and perform root cause analysis.
- Technical Proficiency: Proficient in SQL, with the ability to write and optimize complex queries.
- Hands-on experience with AWS Glue, PySpark, and SQL is a must.
- Additional Assets: Experience with AWS cloud services (EC2, EMR, RDS, DynamoDB) and workflow management tools like AWS Step Functions or Control-M is beneficial.
- Educational Background: Bachelor's Degree in Computer Science, Information Technology, or a related field.
- Best Practices: Knowledge of agile methodologies, coding standards, code reviews, source management, build processes, testing, DevOps, and operations.
Why Join Yugantic?
At Yugantic, you'll have the opportunity to work on transformative projects in a dynamic and collaborative environment. We believe in empowering our team with the latest technology and providing the tools to drive success.
Salary Details:
The salary for this role will be presented to shortlisted candidates.
Ready to make an impact?
Apply now to join our forward-thinking team and drive the future of data engineering at Yugantic
Yugantic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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