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Data Pipeline Architect Job Opening In Bengaluru – Now Hiring EVERSANA


Job description

At EVERSANA, we are proud to be certified as a Great Place to Work across the globe.

We’re fueled by our vision to create a healthier world.

How?

Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry.

We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies.

Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them.

Our jobs, skills and talents are unique, but together we make an impact every day.

Join us!
Across our growing organization, we embrace diversity in backgrounds and experiences.

Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry.

We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs.

We are deliberate and self-reflective about the kind of team and culture we are building.

We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve.

We are EVERSANA.
Job Description
POSITION: Senior Associate, reporting to Associate Director - Engineering, will play an essential role in designing, developing, and maintaining scalable data pipelines and data infrastructure.

You will work closely with data scientists, analysts, and other stakeholders to ensure that our data systems are efficient, reliable, and capable of supporting complex analytical queries.

Your role will involve a mix of hands-on technical work and strategic planning to support the organization's data needs.

To be successful as a Senior Data Engineer at Eversana, you should have strong analytical skills and the ability to combine data from different sources.

Data engineer skills include familiarity with several programming languages and learning machine methods.
Responsibilities:
  • Design, build, and maintain scalable data pipelines that facilitate the flow of data into machine learning models.
  • Collaborate with data scientists to ensure the availability of high-quality, preprocessed data for model training.
  • Deploy machine learning models to production using tools such as TensorFlow Serving, MLflow, or Seldon.
  • Monitor and maintain the performance of machine learning models in production, identifying and addressing issues like data drift or concept drift.
  • Work with large datasets, both batch and real-time, using frameworks like Apache Spark, Apache Kafka, and AWS Glue.
  • Implement and manage data versioning and experiment tracking using tools like DVC and MLflow.
  • Ensure data integrity and quality through validation and profiling techniques
Qualifications
Requirements:
  • Proficiency in Python and SQL;
    experience with Scala or Java is a plus.
  • Strong experience with Apache Spark, Apache Kafka, and other data processing frameworks.
  • Experience deploying machine learning models using TensorFlow Serving, MLflow, or similar tools.
  • Familiarity with data lakes and data warehouses (AWS S3, Google BigQuery, Snowflake).
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization tools like Docker and Kubernetes.
  • Understanding of machine learning workflows and collaboration with data scientists and ML engineers.
  • Strong knowledge of ETL processes, batch and real-time data processing, and orchestration tools (e.G., Apache Airflow)
Qualifications
Bachelor’s degree in engineering, Technology, or Computer Science
  • 1+ years of relevant industry experience (Healthcare, Pharmaceutical Consulting, Enterprise level data-analytical solutio
Additional Information
OUR CULTURAL BELIEFS:
Patient Minded I act with the patient’s best interest in mind.
Client Delight I own every client experience and its impact on results.
Take Action I am empowered and empower others to act now.
Grow Talent I own my development and invest in the development of others.
Win Together I passionately connect with anyone, anywhere, anytime to achieve results.
Communication Matters I speak up to create transparent, thoughtful and timely dialogue.
Embrace Diversity I create an environment of awareness and respect.
Always Innovate I am bold and creative in everything I do.
Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA.

Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company.

Some of these scams request personal information and even payment for training or job application fees.

Please know EVERSANA would never require personal information nor payment of any kind during the employment process.

We respect the personal rights of all candidates looking to explore careers at EVERSANA.
From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success.

We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry.

Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity.

All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility.
Follow us on LinkedIn | Twitter

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Pipeline Potential: Insight & Career Growth Guide


Real-time Data Pipeline Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Pipeline in Bengaluru, India, highlighting market share and opportunities for professionals in Data Pipeline roles.

151409 Jobs in India
151409
12418 Jobs in Bengaluru
12418
Download Data Pipeline Jobs Trends in Bengaluru and India

Are You Looking for Data Pipeline Architect Job?

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The Work Culture

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 EVERSANA adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Data Pipeline Architect Positions?

The average salary range for a 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.

What Are the Key Qualifications for Data Pipeline Architect?

Key qualifications for Data Pipeline Architect typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Pipeline Architect Job Success

EVERSANA interview tips for Data Pipeline Architect

Here are some tips to help you prepare for and ace your Data Pipeline Architect job interview:

Before the Interview:

Research: Learn about the EVERSANA's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Pipeline Architect interview at EVERSANA, 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 EVERSANA'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!

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