Urgent! MonoSpear Technologies - Data Engineer - Synapse Analytics Job Opening In India, India – Now Hiring MonoSpear Technologies Pvt Ltd
<p><p><b>Description : </b><br/><br/>About the Role : <br/><br/>We are seeking a skilled Data Engineer with strong expertise in SQL, SSIS (SQL Server Integration Services), and Azure Data Factory (ADF) to join our data engineering team.<br/><br/>The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and ETL processes to support our data analytics and business intelligence initiatives.<br/><br/>You will work closely with data scientists, analysts, and business stakeholders to ensure data is accurate, timely, and accessible.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Design, develop, and maintain end-to-end data pipelines using SQL, SSIS, and Azure Data Factory to extract, transform, and load data from various sources into data warehouses and data lakes.<br/><br/>- Develop, test, and deploy scalable ETL processes that support large volumes of data and complex business requirements.<br/><br/>- Collaborate with data architects and analysts to understand data requirements and translate them into technical designs.<br/><br/>- Optimize SQL queries and SSIS packages for performance and reliability.<br/><br/>- Implement data ingestion workflows using Azure Data Factory, including data movement, orchestration, and scheduling.<br/><br/>- Monitor data pipeline health and troubleshoot issues proactively to minimize downtime.<br/><br/>- Work with cloud data platforms, particularly Azure Synapse Analytics, Azure Data Lake Storage, and other Azure data services.<br/><br/>- Ensure data quality, consistency, and governance standards are maintained across all data processes.<br/><br/>- Collaborate with DevOps teams to automate deployments and manage CI/CD pipelines for data workflows.<br/><br/>- Document ETL processes, data flows, and pipeline configurations for maintenance and audit purposes.<br/><br/>- Stay updated with the latest developments in data engineering tools, cloud services, and best practices.<br/><br/>- Support ad-hoc data extraction and transformation requests from various teams.<br/><br/><b>Required Qualifications : </b><br/><br/>- 5+ years of experience in data engineering or related roles.<br/><br/>- Strong proficiency in SQL and relational database concepts, including query optimization and performance tuning.<br/><br/>- Hands-on experience designing and developing ETL solutions using SSIS.<br/><br/>- Experience with cloud-based data integration tools, particularly Azure Data Factory (ADF).<br/><br/>- Familiarity with cloud data storage solutions such as Azure Data Lake Storage and Azure Blob Storage.<br/><br/>- Experience with data warehousing concepts and platforms such as Azure Synapse Analytics or SQL Server Data Warehouse.<br/><br/>- Knowledge of data modeling, schema design, and data governance best practices.<br/><br/>- Understanding of CI/CD pipelines and automation in the context of data workflows.<br/><br/>- Strong analytical, problem-solving, and communication skills.<br/><br/>- Bachelors degree in Computer Science, Information Systems, or related field</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 MonoSpear Technologies Potential: Insight & Career Growth Guide
Real-time MonoSpear Technologies Jobs Trends in India, 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 MonoSpear Technologies in India, 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 2840 jobs in India and 385 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in MonoSpear Technologies roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! MonoSpear Technologies Pvt Ltd is currently hiring and seeking a MonoSpear Technologies Data Engineer Synapse Analytics to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: MonoSpear Technologies Data Engineer Synapse Analytics Jobs India.
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 MonoSpear Technologies Pvt Ltd adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a MonoSpear Technologies Data Engineer Synapse Analytics Jobs India varies, but the pay scale is rated "Standard" in India. 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 MonoSpear Technologies Data Engineer Synapse Analytics 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 MonoSpear Technologies Data Engineer Synapse Analytics, 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 MonoSpear Technologies Data Engineer Synapse Analytics interview at MonoSpear Technologies Pvt Ltd, 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 MonoSpear Technologies Pvt Ltd'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 MonoSpear Technologies Data Engineer Synapse Analytics 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!
