Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Data Pipeline Architect.
India Jobs Expertini

Urgent! Data Pipeline Architect Job Opening In Hyderabad – Now Hiring Saras Analytics

Data Pipeline Architect



Job description

About Saras Analytics:

We are an ecommerce focused end to end data analytics firm assisting enterprises & brands in data driven decision making to maximize business value.

Our suite of work spans extraction, transformation, visualization & analysis of data delivered via industry leading products, solutions & services.

Our flagship product is Daton, an ETL tool.

We have now ventured into building exciting ease of use data visualization solutions on top of Daton.

And lastly, we have a world class data team which understands the story the numbers are telling and articulates the same to CXOs thereby creating value.


Where we are Today:

We are a boot strapped, profitable & fast growing (2x y-o-y) startup with old school value systems.

We play in a very exciting space which is intersection of data analytics & ecommerce both of which are game changers.

Today, the global economy faces headwinds forcing companies to downsize, outsource & offshore creating strong tail winds for us.

We are an employee first company valuing talent & encouraging talent and live by those values at all stages of our work without comprising on the value we create for our customers.

We strive to make Saras a career and not a job for talented folks who have chosen to work with us.


The Role:

We are seeking an accomplished Lead Data Engineer with strong programming skills, cloud expertise, and in-depth knowledge of Big Query/Snowflake data warehousing technologies.

As a key leader in our data engineering team, you will play a critical role in designing, implementing, and optimizing data pipelines, leveraging your expertise in programming, cloud platforms, and modern data warehousing solutions.


Responsibilities:

Data Pipeline Architecture:

Lead the design and architecture of scalable and efficient data pipelines, ensuring optimal performance and reliability.

Programming and Scripting:

Utilize strong programming skills, particularly in languages like Python, for developing robust and maintainable data engineering solutions.

Cloud Platform Expertise:

Apply extensive experience with cloud platforms (e.G., AWS, Azure, Google Cloud) to design, deploy, and optimize data engineering solutions in a cloud environment.

BigQuery/Snowflake Knowledge:

Demonstrate deep understanding and hands-on experience with BigQuery/Snowflake for efficient data storage, processing, and analysis.

ETL Processes:

Lead the development of Extract, Transform, Load (ETL) processes, ensuring seamless integration of data from various sources into the data warehouse.

Data Modeling and Optimization:

Design and implement effective data models to support ETL processes and ensure data integrity and efficiency.

Collaboration and Leadership:

Collaborate with cross-functional teams, providing technical leadership and guidance to junior data engineers.

Work closely with data scientists, analysts, and business stakeholders to understand requirements and deliver effective data solutions.

Quality Assurance:

Implement comprehensive data quality checks and validation processes to ensure the accuracy and completeness of data.

Documentation:

Create and maintain detailed documentation for data engineering processes, data models, and cloud configurations.


Technical Skills:

  1. Programming Languages: Expertise in programming languages, with a strong emphasis on Python.
  2. Cloud Platforms: Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud.
  3. Big Data Technologies: Proficiency in big data technologies and frameworks for distributed computing.
  4. Data Warehousing: In-depth knowledge of modern data warehousing solutions, with specific expertise in BigQuery/Snowflake.
  5. ETL Tools: Experience with ETL tools like Apache NiFi, Talend, or similar.
  6. SQL: Strong proficiency in writing and optimizing SQL queries for data extraction, transformation, and loading.
  7. Collaboration Tools: Experience using collaboration and project management tools for effective communication and project tracking.


Soft Skills:

Strong leadership and mentoring capabilities.

Excellent communication and presentation skills.

  • Strategic thinking and problem-solving abilities.
  • Ability to work collaboratively in a cross-functional team environment.


Educational Qualifications:

  • Bachelor’s or Master’s degree in Computer Science Data Engineering, or a related field.


Experience:

  • 8+ years of experience in data engineering roles with a focus on programming, cloud platforms, and data warehousing.


If you are an experienced Lead Data Engineer with a strong programming background, cloud expertise, and specific knowledge of BigQuery/Snowflake, we encourage you to apply.

Please submit your resume and a cover letter highlighting your technical skills, leadership experience, and contributions to data engineering projects.


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Data Pipeline Potential: Insight & Career Growth Guide


  • Real-time Data Pipeline Jobs Trends in Hyderabad, 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 Pipeline in Hyderabad, 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 147979 jobs in India and 5551 jobs in Hyderabad. This comprehensive analysis highlights market share and opportunities for professionals in Data Pipeline roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for Data Pipeline Architect Job?

    Great news! is currently hiring and seeking a Data Pipeline Architect to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • 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 Saras Analytics adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 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 Hyderabad. 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. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for Data Pipeline Architect?

    To improve your chances of getting hired for Data Pipeline Architect, consider enhancing your skills. Check your CV/Résumé Score with our free 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.

  • Interview Tips for Data Pipeline Architect Job Success
    Saras Analytics interview tips for Data Pipeline Architect

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

    Before the Interview:
    • Research: Learn about the Saras Analytics'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 Saras Analytics, 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 Saras Analytics'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!

  • How to Set Up Job Alerts for Data Pipeline Architect Positions

    Setting up job alerts for Data Pipeline Architect 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!