- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Data Engineer Technical Lead.
Urgent! Data Engineer-Technical Lead Job Opening In New Delhi – Now Hiring Sigmoid
Kindly find the Job Description Below.
Job Title:Technical Lead-Azure Data Engineer
Location: Bangalore
Years of Experience: 10+ years of experience
Sigmoid works with a variety of clients from start-ups to fortune 500 companies.
We are looking for a detailed oriented self-starter to assist our engineering and analytics teams in various roles as a Software Development Engineer.
As an Technical Lead- Data Engineer, you will be responsible for building a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels.
We are looking for a skilled Data Engineer with 10+ years of experience in big data technologies, particularly Azure, Python, PYSpark, SQL and data lakehouse architectures.
The ideal candidate will have a strong background in building scalable data pipelines and experience with modern data storage formats, including Apache Iceberg.
You will work closely with cross-functional teams to design and implement efficient data solutions in a cloud-based environment.
Key Responsibilities:
- Data Pipeline Development:
- Design, build, and optimize scalable data pipelines using Apache Spark.
- Implement and manage large-scale data processing solutions across data lakehouses.
- Data Lakehouse Management:
- Work with modern data lakehouse platforms (e.g.Apache Iceberg) to handle large datasets.
- Optimize data storage, partitioning, and versioning to ensure efficient access and querying.
- SQL & Data Management:
- Write complex SQL queries to extract, manipulate, and transform data.
- Develop performance-optimized queries for analytical and reporting purposes.
- Data Integration:
- Integrate various structured and unstructured data sources into the lakehouse environment.
- Work with stakeholders to define data needs and ensure data is available for downstream consumption.
- Data Governance and Quality:
- Implement data quality checks and ensure the reliability and accuracy of data.
- Contribute to metadata management and data cataloging efforts.
- Performance Tuning:
- Monitor and optimize the performance of Spark jobs, SQL queries, and overall data infrastructure.
- Work with cloud infrastructure teams to optimize costs and scale as needed.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 9+ years of experience in data engineering, with a focus on Java/python, Spark and SQL Programming languages.
- Hands-on experience with Apache Iceberg, Snowflake, or similar technologies.
- Strong understanding of data lakehouse architectures and data warehousing principles.
- Proficiency in AWS data services.
- Experience with version control systems like Git and CI/CD pipelines.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
Nice to Have:
- Experience with containerization (Docker, Kubernetes) and orchestration tools like Airflow.
- Certifications in Azure cloud technologies
✨ 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 New Delhi, 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 New Delhi, 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 632808 jobs in India and 21851 jobs in New Delhi. 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! Sigmoid is currently hiring and seeking a Data Engineer Technical Lead 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 Technical Lead Jobs New Delhi.
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 Sigmoid adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer Technical Lead Jobs India varies, but the pay scale is rated "Standard" in New Delhi. 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 Technical Lead 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 Technical Lead, 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 Technical Lead interview at Sigmoid, 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 Sigmoid'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 Technical Lead 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!