New Opening for Data Architect with experience in ETL ,Spark, Data Bricks, BigData, Wayne, PA 19087 (This is remote position) Contract Position Infosys at Wayne, Pennsylvania, USA |
Email: [email protected] |
From: Prince Kumar, IDC Technologies Inc [email protected] Reply to: [email protected] Hello, Hope You are doing good, Please find the below job description and let me know your interest ASAP: Client: Infosys End Client Details Can Be Shared At The Time Of Submission Job Titles: Technology | Data Architect with experience in ETL ,Spark, Data Bricks, BigData Work Locations: Wayne, PA 19087 (This is remote position) Job Details: Must Have Skills ETL ,Spark, Data Bricks, Big Data Detailed Job Description Qualifications Basic Bachelors degree or foreign equivalent required. Will also consider one year of relevant work experience in lieu of every year of education Minimum 5+ years of experience in IT services and at least 2-3 years experience in Big Data. 5+ year on Big Data Data Bricks solutions and development on Cloud Platforms. Experience in prior Big Data projects. Preferred: Hands-on Experience implementing Lake house architecture using Data bricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog Hands-on experience implementing server less real-time/near real-time architecture using Cloud native services and Spark technologies leveraging Databricks Experience in Data bricks engineering solutions on one of the Cloud platforms Experience in Data Architecture and delivery experience on one of the Cloud platforms Experience working in transformational projects leveraging ETL/ELT/CDC pipelines using Databricks Experience with building data management pipelines to populate data into data lakes on cloud-centric platforms Responsibilities: Work with clients to define their cloud data platform and implement cutting-edge data solutions to provide valuable business insights including AI/ML Drive analysis, design, governance and development of data warehouse, data lake, and business intelligence solutions Research, synthesize, recommend, and select technical approaches for solving difficult migration, development, and integration problems Conduct and support workshops, design sessions, and project meetings as needed, playing a key role in client relations Collaborate applications teams/Business users to develop new pipelines with Cloud data migration methodologies and processes Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Databricks. Minimum years of experience 8-10 years If you are interested, kindly revert with your Updated Resume, Work Authorization Copy and an ID Proof with the below required information to proceed further. Candidate Information Legal Name (As Per SSN) DOB Contact Number Email ID Skype ID Current Location Work Authorization with validity Highest Qualification University & Graduation year Total Years of Experience Notice Period Interview Availability (Date & Time) Expected Rate LinkedIn Profile Passport Number(Not for Citizen, GC) If you find you are not interested, but know someone who would be a good fit, please either pass on my contact information to them or forward their contact details to me. Thanks & Regards, Prince Kumar IDC Technologies Inc Direct 408-429-2715 Secodary- 424 262 8133 920 Hillview Court, Suite 250, Milpitas, CA 95035 [email protected] | www.idctechnologies.com ________________________________________________ EMPOWERING TECHNOLOGIES SERVICES IT Services | Remote Services | IT Consulting | Staffing Solutions | BPO ______________________________________________________ Keywords: artificial intelligence machine learning information technology green card California Idaho Pennsylvania |
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Tue Feb 28 02:17:00 UTC 2023 |