Urgent! Data Engineer - Python/Scala Job Opening In Greater Noida – Now Hiring CloudKeeper
<p><p><b>Description : </b><br/><br/>About CLOUDKEEPER : <br/><br/>CloudKeeper is a cloud cost optimization partner that combines the power of group buying & commitments management, expert cloud consulting & support, and an enhanced visibility & analytics platform to reduce cloud cost & help businesses maximize the value from AWS, Microsoft Azure, & Google Cloud.
A certified AWS Premier Partner, Azure Technology Consulting Partner, Google,Cloud Partner, and FinOps Foundation Premier Member, CloudKeeper has helped 400+ global companies save an average of 20% on their cloud bills, modernize their cloud set-up and maximize value all while maintaining flexibility and avoiding any long-term commitments or cost.
CloudKeeper hived off from TO THE NEW, digital technology services company with 2500+ employees and an 8-time GPTW winner.<br/><br/><b>Position Overview : </b><br/><br/>We are looking for an experienced and driven Data Engineer to join our team.
The ideal candidate will have a strong foundation in big data technologies, particularly Spark, and a basic understanding of Scala to design and implement efficient data pipelines.
As a Data Engineer at CloudKeeper, you will be responsible for building and maintaining robust data infrastructure, integrating large datasets, and ensuring seamless data flow for analytical and operational purposes.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store data from various sources.<br/><br/>- Work with Apache Spark to process large datasets in a distributed environment, ensuring optimal performance and scalability.<br/><br/>- Develop and optimize Spark jobs and data transformations using Scala for large-scale data processing.<br/><br/>- Collaborate with data analysts and other stakeholders to ensure data pipelines meet business and technical requirements.<br/><br/>- Integrate data from different sources (databases, APIs, cloud storage, etc.) into a unified data platform.<br/><br/>- Ensure data quality, consistency, and accuracy by building robust data validation and cleansing mechanisms.<br/><br/>- Use cloud platforms (AWS, Azure, or GCP) to deploy and manage data processing and storage solutions.<br/><br/>- Automate data workflows and tasks using appropriate tools and frameworks.<br/><br/>- Monitor and troubleshoot data pipeline performance, optimizing for efficiency and cost-effectiveness.<br/><br/>- Implement data security best practices, ensuring data privacy and compliance with industry standards.<br/><br/>- Stay updated with new data engineering tools and technologies to continuously improve the data infrastructure.<br/><br/><b>Required Qualifications : </b><br/><br/>- 4 - 6 years of experience required as a Data Engineer or an equivalent role<br/><br/>- Strong experience working with Apache Spark with Scala for distributed data processing and big data handling.<br/><br/>- Basic knowledge of Python and its application in Spark for writing efficient data transformations and processing jobs.<br/><br/>- Proficiency in SQL for querying and manipulating large datasets.<br/><br/>- Experience with cloud data platforms, preferably AWS (e.g., S3, EC2, EMR, Redshift) or other cloud-based solutions.<br/><br/>- Strong knowledge of data modeling, ETL processes, and data pipeline orchestration.<br/><br/>- Familiarity with containerization (Docker) and cloud-native tools for deploying data solutions.<br/><br/>- Knowledge of data warehousing concepts and experience with tools like AWS Redshift, Google BigQuery, or Snowflake is a plus.<br/><br/>- Experience with version control systems such as Git.<br/><br/>- Strong problem-solving abilities and a proactive approach to resolving technical challenges.<br/><br/>- Excellent communication skills and the ability to work collaboratively within cross-functional teams.<br/><br/><b>Preferred Qualifications : </b><br/><br/>- Experience with additional programming languages like Python, Java, or Scala for data engineering tasks.<br/><br/>- Familiarity with orchestration tools like Apache Airflow, Luigi, or similar frameworks.<br/><br/>- Basic understanding of data governance, security practices, and compliance regulations.</p><br/></p> (ref:hirist.tech)
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Greater Noida, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in Greater Noida, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 676344 jobs in India and 6757 jobs in Greater Noida. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! CloudKeeper is currently hiring and seeking a Data Engineer Python/Scala to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Engineer Python/Scala Jobs Greater Noida.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at CloudKeeper adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer Python/Scala Jobs India varies, but the pay scale is rated "Standard" in Greater Noida. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Engineer Python/Scala typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Data Engineer Python/Scala, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Engineer Python/Scala interview at CloudKeeper, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the CloudKeeper's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Data Engineer Python/Scala is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!
