Data Engineer 2
hace 6 meses
**Description du poste**:
**Description compl�mentaire**:
Deliver Data Engineering Solutions in the Cloud
- Deliver turn-key data mining and data value extraction tools based on sound AI/ML theory.
- Build data engineering framework to support Data Migration to AWS Cloud technologies and deliver new projects as per new target architecture within AWS data cloud service.
- Develop Data platform solutions using Amazon S3, Athena, Data Migration Services (DMS), AWS Glue, Lambda, Spark, and Python to load data across multiple sources into AWS.
- Design, Implement and Deliver working AL/ML (Artificial Intelligence & Machine Learning) techniques to build models that support decision making and extract value from Datasets.
- Building and optimizing data pipelines to facilitate the extraction of data from multiple sources and load it into data warehouses.
- Using automation to streamline data processing and reduce development time.
- Managing the production of data pipelines.
- Code, test, and document new or modified data models and ETL/ELT tools to create robust and scalable data assets for reporting and analytics.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc.
- Migration of solutions from legacy on-prem systems to the cloud.
- Improving data flow and quality to ensure a single source of truth is delivered to the business.
- Build and own the automation and monitoring frameworks that captures metri
**Exigences du poste**:
- Education: Bachelor's or Master's degree in computer science or Information Technology or Information Science or equivalent.
- Experience: Minimum 5+ years of experience in the field of Data Engineering or Analysis or Operations or Data warehousing if Bachelors is obtained or 8+ years with relevant experience.
- 4+ years of experience with Data Operations/Analysis, Data Warehousing & Data Analytics tools.
- 4+ years of experience in SQL optimization, performance tuning and development experience in programming languages like SQL, PowerShell, Python, and PySpark.
- At least 1 year experience in implementing AI/ML techniques (Artificial Intelligence & Machine Learning) on existing Data Sets.
- Minimum 2+ years of experience with AWS Cloud Database/ Data Engineering such as Database Infrastructure, Data Warehousing, or Data Analytics tools.
- At least two AWS Certifications Associate/Specialty level Certification.
- Advanced knowledge of writing complex SQL & Automation Scripts using PowerShell & Python.
- Experience with Business Intelligence Tools, Reporting and ETL technologies such as SSIS, SSRS, PowerBI, AWS Glue, EMR, Athena and QuickSight.
- Experience with Relational Databases such as SQL Server, Oracle, MySQL and AWS Cloud database services: RDS, Aurora, Dynamo DB and Redshift.
- Basic Knowledge in Homogenous & Heterogeneous Migration of Database environment to AWS using AWS key service like DMS, SCT,RDS, Aurora.
- Working knowledge of Key AWS Services like EC2, S3, IAM, RDS, Aurora, DMS and SCT.
- Strong understanding of database technologies and management systems.
- Advanced Knowledge with writing Complex SQL & Scripting with Python, PowerShell.
- Excellent analytical, problem-solving skills & Working knowledge of agile development, including DevOps and DataOps concepts.
- Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management.
Preferred Qualifications:
- Background in Data Engineering, AI/ML
- Mentor, Review Junior Data Analysts/ Engineers to ensure DataOps Best Practices are followed.
- Strong Competency with Writing Complex SQL, Python & PowerShell Scripts.
- Advanced knowledge of AWS Cloud Computing Services & Automating Manual Tasks.
- Demonstrated experience working with in AWS cloud-based environment.
- Understands both the engineering and business side of the Data Products released.
- Experience working with Open-Source Database technologies like MySQL, PostgreSQL.
- Any AWS Associate and Specialty Certification is a Plus.
- Experience with Statistical/ML techniques is a plus.
- Experience with Manufacturing/Aerospace or Airline Industry.
Computer/IT Skills:
- Basic knowledge Microsoft Office (Word, Excel, PowerPoint, Project), VISIO.
- Basic knowledge of TCP/IP, packet capturing, firewalls and networking fundamentals.
- Advanced knowledge of cloud computing and AWS Services.
- Adv
**Sp�cificit� du travail**:
Traveling is required.
Safran est un groupe international de haute technologie opérant dans les domaines de l'aéronautique (propulsion, équipements et intérieurs), de l'espace et de la défense. Sa mission : contribuer durablement à un monde plus sûr, où le transport aérien devient toujours plus respectueux de l'environnement, plus confortable et plus accessible. Implanté sur tous les continents, le Gro
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