3

Data Engineer Graduate Experience Jobs in Ahmedabad

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Back Office Executive

Krishna Engineering works,

  • 1 - 5 yrs
  • 3.5 Lac/Yr
  • GIDC Vatwa Ahmedabad
Microsoft Office Word Microsoft Word Outlook Good Communication Skills Quick Learner Lead Generation Followups Data Analyst Data Engineer Data Management Calling Customer Support Back Office Processing Back End Processing
Good Typing Speed, Quick Learner, On Time response, Customer relationship management, Business Development, Tele calling, Good Communication Skill, Data management, Reporting Skill , Have Knowledge of IndiaMart , Know How to take Buy Leads , Maintain All the data Properly, Quotations Making Etc Must have experience.
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Python Developer Data Analyst Data Scientist Coding Analyst
Write effective python code to tackle complex issues, but also use your business sense and analytical abilities to glean valuable insights from public database.Clearly express reasoning and logic when Writing code in Jupiter notebooks or other suitable mediums Fix bugs in the code and create through documentation Utilize extensive data analysis skills to develop and respond to important business queries using available datasetsEffectively communicate with researchers to comprehend the needs and provide the results
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Data Engineer

Optimhite

  • 4 - 9 yrs
  • 25.0 Lac/Yr
  • Ahmedabad
Python SQL Jenkins Data Warehousing Data Scientist Data Engineer AWS Pyspark Work From Home
Job Location is Bangalore not Ahmedabad Responsibilities:Collaborate with cross-functional teams to define the data architecture, data models, and data flow in our data warehouse, and to understand their data requirements and provide technical support as needed.Design, develop, and maintain scalable data pipelines using PySpark and AWSImplement data quality assurance practices to ensure data accuracy, reliability, and integrity by implementing data validation, cleansing, and transformation processes.Create and maintain documentation of the data architecture, data models, and data pipelines to ensure understanding and efficient collaboration among team members.Maximise the performance and scalability of the data warehouse in AWS for each unit of computation and storage cost.Optimise and tune data pipelines for performance and scalability.Implement data governance policies, data security and privacy best practices to protect sensitive information and comply with relevant regulations.Work closely with other team members to troubleshoot and resolve data-related issues.Continuously monitor the performance of the data infrastructure and make improvements as needed to ensure optimal efficiency and reliability.Stay up-to-date with the latest industry trends and advancements in data architecture and technologies to drive innovation and maintain a competitive edge.Requirements:Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.5+ years of experience in data architecture and data engineering roles, preferably on AWS.Strong proficiency in PySpark, Python, SQL, or other big data technologies.Strong experience with Data WarehousesExperience with DevOps and version control practices and tools such as Jenkins or GitLab
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