Array ( [0] => data-engineer [1] => ahmedabad ) Top Data Engineer Female Jobs in Ahmedabad for Graduate

Data Engineer Female Graduate Jobs in Ahmedabad

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Urgent Requirement For Python Data Engineer

Career Crops

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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Computer Engineer Laptop & Mobile Repairing,Data Recovery

Manush Kartavya Foundation

  • 1 - 5 yrs
  • 2.0 Lac/Yr
  • Bopal Ahmedabad
Laptop Hardware Mobile Repairing Desktop Hardware Data Recovery Hardware Networking Walk in
We have vacant of 1 Computer Engineer Laptop Job in Bopal, Ahmedabad, Laptop Hardware, Mobile Repairing, Desktop Hardware, Data Recovery, Hardware Networking, Experience Required : 1 Year Educational Qualification : Diploma, Advanced/Higher Diploma, Professional Degree, Post Graduate Diploma, M.C.A, M.Com Skill Laptop Hardware, Mobile Repairing, Desktop Hardware, Data Recovery, Hardware Networking etc. Our office is equiped with xerox machines, so also able to learn to operate them, with able to learn Online Computer Peripherals sales on Amazon etc.,
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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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