Urgent! Principal Data Engineer - Spark/Data Pipeline Job Opening In Bengaluru – Now Hiring Neemtree
<p><p><b>Responsibilities :</b><br/><br/>- Define and lead the data architecture vision and strategy, ensuring it supports analytics, ML, and business operations at scale.<br/><br/></p><p>- Architect and manage cloud-native data platforms using Databricks and AWS, leveraging the lakehouse architecture to unify data engineering and ML workflows.<br/><br/></p><p>- Build and optimize large-scale batch and streaming pipelines using Apache Spark, Airflow, and AWS Glue, ensuring high availability and fault tolerance.<br/><br/></p><p>- Design and develop data marts, warehouses, and analytics-ready datasets tailored for BI, product, and data science teams.<br/><br/></p><p>- Implement robust ETL/ELT pipelines with a focus on reusability, modularity, and automated testing.<br/><br/></p><p>- Enforce and scale data governance practices, including data lineage, cataloging, access management, and compliance with security and privacy standards.</p><p><br/></p><p>- Partner with ML Engineers and Data Scientists to build and deploy ML pipelines, leveraging Databricks MLflow, Feature Store, and MLOps practices.<br/><br/></p><p>- Provide architectural leadership across data modeling, data observability, pipeline monitoring, and CI/CD for data workflows.<br/><br/></p><p>- Evaluate emerging tools and frameworks, recommending technologies that align with platform scalability and cost-efficiency.<br/><br/></p><p>- Mentor data engineers and foster a culture of technical excellence, innovation, and ownership across data teams.<br/><br/><b>Requirements :</b><br/><br/>- 8+ years of hands-on experience in data engineering, with at least 4 years in a lead or architect-level role.<br/><br/></p><p>- Deep expertise in Apache Spark, with proven experience developing large-scale distributed data processing pipelines.<br/><br/></p><p>- Strong experience with Databricks platform and its internal ecosystem (e.
g., Delta Lake, Unity Catalog, MLflow, Job orchestration, Workspaces, Clusters, Lakehouse architecture).<br/><br/></p><p>- Extensive experience with workflow orchestration using Apache Airflow.<br/><br/></p><p>- Proficiency in both SQL and NoSQL databases (e.
g., Postgres, DynamoDB, MongoDB, Cassandra) with a deep understanding of schema design, query tuning, and data partitioning.<br/><br/></p><p>- Proven background in building data warehouse/data mart architectures using AWS services like Redshift, Athena, Glue, Lambda, DMS, and S3<br/><br/></p><p>- Strong programming and scripting ability in Python (preferred) or other AWS-compatible languages.<br/><br/></p><p>- Solid understanding of data modeling techniques, versioned datasets, and performance tuning strategies.<br/><br/></p><p>- Hands-on experience implementing data governance, lineage tracking, data cataloging, and compliance frameworks (GDPR, HIPAA, etc.
).<br/><br/></p><p>- Experience with real-time data streaming using tools like Kafka, Kinesis, or Flink.<br/><br/></p><p>- Working knowledge of MLOps tooling and workflows, including automated model deployment, monitoring, and ML pipeline orchestration.<br/><br/></p><p>- Familiarity with MLflow, Feature Store, and Databricks-native ML tooling is a plus.<br/><br/></p><p>- Strong grasp of CI/CD for data and ML pipelines, automated testing, and infrastructure-as-code (Terraform, CDK, etc.
).<br/><br/></p><p>- Excellent communication, leadership, and mentoring skills with a collaborative mindset and the ability to influence across functions.<br/></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 Principal Data Potential: Insight & Career Growth Guide
Real-time Principal Data Jobs Trends in Bengaluru, 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 Principal Data in Bengaluru, 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 165354 jobs in India and 12719 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Principal Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Neemtree is currently hiring and seeking a Principal Data Engineer Spark/Data Pipeline to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Principal Data Engineer Spark/Data Pipeline Jobs Bengaluru.
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 Neemtree adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Principal Data Engineer Spark/Data Pipeline Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. 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 Principal Data Engineer Spark/Data Pipeline 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 Principal Data Engineer Spark/Data Pipeline, 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 Principal Data Engineer Spark/Data Pipeline interview at Neemtree, 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 Neemtree'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 Principal Data Engineer Spark/Data Pipeline 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!
