- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Celebal Technologies AWS Data Engineer.
Urgent! Celebal Technologies - AWS Data Engineer Job Opening In Pune – Now Hiring Celebal Technologies
<p><p>DATA ENGINEER (Databricks & AWS)<br/><br/><b>Overview :</b><br/><br/>As a Data Engineer, you will work with multiple teams to deliver solutions on the AWS Cloud using core cloud data engineering tools such as Databricks on AWS, AWS Glue, Amazon Redshift, Athena, and other Big Data-related technologies.
This role focuses on building the next generation of application-level data platforms and improving recent implementations.
Hands-on experience with Apache Spark (PySpark, SparkSQL), Delta Lake, Iceberg, and Databricks is essential.<br/><br/><b>Responsibilities :</b><br/><br/>- Define, design, develop, and test software components/applications using AWS-native data services : Databricks on AWS, AWS Glue, Amazon S3, Amazon Redshift, Athena, AWS Lambda, Secrets Manager<br/><br/>- Build and maintain ETL/ELT pipelines for both batch and streaming data.<br/><br/>- Work with structured and unstructured datasets at scale.<br/><br/>- Apply Data Modeling principles and advanced SQL techniques.<br/><br/>- Implement and manage pipelines using Apache Spark (PySpark, SparkSQL) and Delta Lake/Iceberg formats.<br/><br/>- Collaborate with product teams to understand requirements and deliver optimized data solutions.<br/><br/>- Utilize CI/CD pipelines with DBX and AWS for continuous delivery and deployment of Databricks code.<br/><br/>- Work independently with minimal supervision and strong ownership of deliverables.<br/><br/><b>Must Have :</b><br/><br/>- 4+ years of experience in Data Engineering on AWS Cloud.<br/><br/>- Hands-on expertise in :<br/><br/>1.
Apache Spark (PySpark, SparkSQL)<br/><br/>2.
Delta Lake / Iceberg formats<br/><br/>3.
Databricks on AWS<br/><br/>4.
AWS Glue, Amazon Athena, Amazon Redshift<br/><br/>- Strong SQL skills and performance tuning experience on large datasets.<br/><br/>- Good understanding of CI/CD pipelines, especially using DBX and AWS tools.<br/><br/>- Experience with environment setup, cluster management, user roles, and authentication in Databricks.<br/><br/>- Certified as a Databricks Certified Data Engineer Professional (mandatory).<br/><br/><b>Good To Have :</b><br/><br/>- Experience migrating ETL pipelines from on-premise or other clouds to AWS Databricks.<br/><br/>- Experience with Databricks ML or Spark 3.x upgrades.<br/><br/>- Familiarity with Airflow, Step Functions, or other orchestration tools.<br/><br/>- Experience integrating Databricks with AWS services in a secured, production-ready environment.<br/><br/>- Experience with monitoring and cost optimization in AWS.<br/><br/><b>Key Skills :</b><br/><br/>- Languages : Python, SQL, PySpark<br/><br/>- Big Data Tools : Apache Spark, Delta Lake, Iceberg<br/><br/>- Databricks on AWS<br/><br/>- AWS Services : AWS Glue, Athena, Redshift, Lambda, S3, Secrets Manager<br/><br/>- Version Control & CI/CD : Git, DBX, AWS CodePipeline/CodeBuild<br/><br/>- Other : Data Modeling, ETL Methodology, Performance Optimization</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 Celebal Technologies Potential: Insight & Career Growth Guide
Real-time Celebal Technologies Jobs Trends in Pune, 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 Celebal Technologies in Pune, 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 2974 jobs in India and 500 jobs in Pune. This comprehensive analysis highlights market share and opportunities for professionals in Celebal Technologies roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Celebal Technologies is currently hiring and seeking a Celebal Technologies AWS Data Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Celebal Technologies AWS Data Engineer Jobs Pune.
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 Celebal Technologies adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Celebal Technologies AWS Data Engineer Jobs India varies, but the pay scale is rated "Standard" in Pune. 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 Celebal Technologies AWS Data Engineer 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 Celebal Technologies AWS Data Engineer, 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 Celebal Technologies AWS Data Engineer interview at Celebal Technologies, 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 Celebal Technologies'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 Celebal Technologies AWS Data Engineer 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!