35 results (2 new)
Infosat IT Services LLC
Hybrid in Newark, New Jersey • 27d ago
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Hi, Job Title: Data Lake Architect AWS Location: Remote/EST/CST only Duration: 12 Months
Data Lake Architect with strong AWS expertise to design and implement scalable, secure, high-performance enterprise data lake solutions.
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Hi, Job Title:Datalake Architect Location: Remote Duration: Longterm Description: 8-10+ years of experience in Data Architecture/Data Engineering. Strong hands-on experience designing AWS Data Lake architectures. Expertise in AWS S3, Glue, Lake Formation, Athena, Redshift, and EMR. Strong knowledge of Spark/PySpark, Python, SQL, and ETL/ELT. Experience with Terraform/CloudFormation and cloud security. Thank You, Ashok Kumar Email:
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Remote
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28d ago
JOB TITLE: Data Lake Architect LOCATION: Remote DURATION: Contract Key Responsibilities Evaluate the current data architecture and recommend a scalable, future-ready data lake strategy. Design an enterprise data lake architecture that integrates structured and unstructured data. Review and optimise the existing data ingestion framework, which currently ingests primarily into Snowflake. Define best practices for data ingestion, orchestration, metadata management, and governance. Design intellige
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70 - 80
Remote
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3d ago
Role: ML Ops & Data Platform Engineer Location: USA (remote is good but need to cover PST time) Duration: Long term project ML Ops & Data Platform Engineer Contractor Overview We are seeking an experienced ML Ops & Data Platform Engineer to join a team for projects covering two areas of focus: 1. ML Operations help design, build, and operate production-grade machine learning infrastructure on AWS for advanced cancer screening and precision oncology applications, and support the integration of A
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Third Party, Contract
70 - 75
Remote
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7d ago
Position: Databricks -- Solutions Architect Location: Remote Duration: Fulltime We are seeking an experienced Solutions Architect to design and deliver scalable, cloud-native data solutions that support real-time analytics and enterprise data processing. The ideal candidate will have deep expertise in Databricks, AWS, Kafka, and modern Data Engineering practices, with experience building high-performance streaming and batch data platforms. Exposure to AI/ML solutions is a strong plus. The Solut
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Depends on Experience
