Cloud Data Engineer with Python

This is Jami from CentraPrise. We have urgent position of Cloud Data Engineer with Python locationin Dallas, TX . If you are interested please share your updated resume with contact details.

Position: Cloud Data Engineer with Python

Location: Dallas, TX

Duration: Fulltime/Permanent Position

Skill - Airflow, Python, AWS , MLFlow, KubeFLow , Injeston

Job Description: ( We are looking for AWS with python & Airflow for 6 + Years Experienced resources )

Role & Responsibilities:

• Apply strong technical skills in a data engineering team building industry-leading technology
• Lead the scoping, planning, design and delivery of Data Analytics activities as a part of relevant and forward-looking audits across all business operating
• Build industry-leading tools to increase the productivity of Data Analysts, Data Scientists, and Marketers
• Create data architecture that is flexible, scalable, and consistent for cross-functional use, and aligned to stakeholder business requirements.
• Employ industry best practices or cross-industry standards on the data engineering pipelines and processes
• Help Marketing organization to become a 100% data-driven organization by building a next generation data platform that brings accurate and timely data to the Marketers
• Validate Data Engineering business data elements, organizational and business intelligence architecture designs for engineering functional areas from Dashboards, Data Lakes, Data Operations, ML - AI, and upstream/downstream intake and output processes
• Ability to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiences
• Ability to build scalable systems that analyze huge data sets and make actionable recommendations Strong communication and data presentation skills.
• Design and develop algorithms and models to use against large datasets to create business insights and create scalable efficient processes for large scale data analyses, model development, and model implementation
• Present analysis and resulting recommendations to senior management and partners and incorporate their feedback

Hands on Skill Needed:

• AWS Experience (hands-on) with all core services and Real Time Ingestion, like SQS,SNS, Kinesis, EC2 (scale up/down), EMR, CloudTrail, CloudWatch, CloudFormation, Glue, Data pipeline, S3, EFS, RDS, DynomoDB, SysManager, IAM are must. Scale should be > 8.5 out of 10
• Python or SQL hands-on with scale of > 7.5 out of 10. Snowflake or any Cloud Database / Data Warehouse knowledge will be helpful
• Strong Data Structure and Data Modeling knowledge is must.
• Apache Airflow or Any DAG orchestration (Splunk, Luigi, Perfect, MLFlow, KubeFlow) with respect to Data Engineering will be helpful.
• Overall experience should be > 6 years
• DevOps Overall Knowledge is must (any resource working in data engineering, should be familiarized with this)
• Hadoop and BigData, overall knowledge should be fine.
• Hands-on with Batch Ingestion and Live Streaming Ingestion is required.

Thanks & Regards

Jami |Sr. Technical Recruiter

Centraprise Global





www.centraprise.com