| Tried reaching you.......... Big Data Engineer - 100% Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Pam, ITECS [email protected] Reply to: [email protected] Experience Level: 5-6 years. 100% Remote This is an immediate position, only 1-2 profiles from 1 supplier. We need somebody who can join us by 1st week of Sep, chances of extension are there. Key Skills: Databricks, Pyspark, Python, GCP --------------------------------------------------------------------------------------------- Job Title: Databricks with PySpark Big Data Engineer Work Location: 100% Remote USA Must-have Skills: Big Data Proficiency : Experience with big data technologies -Databricks with PySpark Data Modelling : Strong understanding of data modelling principles and experience in designing efficient data models BI Tools. Understanding & Experience of ETL tools SQL and Data Manipulation : Proficiency in SQL and data manipulation skills to prepare data for visualization. Scripting Languages : Intermediate or higher level of understanding of scripting language Python for creating efficient and customizations of applications and writing automation script is expected. Good to have Skills: Other scripting Languages: Familiarity with scripting languages such as JavaScript other than python for customizations and automation. Google Pub sub/Kafka/Mongo DB ETL: Familiarity with ETL processes and tools for data extraction, transformation, and loading. Cloud Platforms : Knowledge of cloud platforms like Databricks, Snowflake, Google Cloud for ThoughtSpot deployments. Data Warehousing: Understanding of data warehousing concepts and technologies. Data Governance: Familiarity with data governance and data quality best practices. Certifications : certifications or relevant industry certifications Databricks, GCP cloud Data Security: Knowledge on PII and masking is desirable. Agile: Working knowledge on Agile/SAFe Domain Expertise: Knowledge on Retail Domain KPIs Qualification: Bachelors degree in computer science, engineering, or related field Demonstrated continued learning through one or more technical certifications or related methods 4+ years of Experience in Big Data Technologies must be able to articulate use cases supported and outcomes driven Relevant experience in Retail domain Full Name Contact Phone No. Skype ID Linkdin ID Current Location Relocation Availability Rate $_____/-Hrly-C2C Visa Status Communication Skills out of 10 Last Four Digit of Social Validity of Visa DOB Education/University Year of Graduation REFERENCES FROM YOUR CURRENT OR PREVIOUS EMPLOYER: Reference #1 Name: Job Title: Company: Phone: E-mail: Reference #2 Name: Job Title: Company: Phone: E-mail: Thanks N' Regards, PAM IT & EBusiness Consulting Services Inc. Ph: (516) 515-7931 Fax: 866 515 6599 Email: [email protected] Linkedin: https://www.linkedin.com/in/pam-itecs-b5758ab2/ Note: HEADPHONES, AIRPODS, EARPODS etc, will not be allowed during interview, kindly attend the interview using Laptop's microphone only. Keywords: business intelligence database information technology Idaho Tried reaching you.......... Big Data Engineer - 100% Remote [email protected] |
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| Mon Sep 16 22:54:00 UTC 2024 |