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Data Pipeline Engineer Job Opening In Bengaluru – Now Hiring Landmark Group


Job description

Landmark Group is looking for a Azure Data Engineers with 5-8 years of experience to join the Data Team in Landmark Digital.

As a Data Engineer, you will take a pivotal role in designing, deploying, and optimizing data solutions leveraging Azure's powerful ecosystem.

Your expertise will drive the development of efficient data pipelines using Azure Data Factory, ensuring data quality and management in Azure Data Lake.

Additionally, you'll utilize your proficiency in complex stored procedures within Azure Databricks or Synapse.

Collaborating cross-functionally, you'll contribute to data-driven initiatives, harnessing Azure Synapse Analytics to provide insightful intelligence that shapes informed decision-making.


Required Skills:

  • Bachelor's degree in Computer Science, Engineering, or a related field.

    Advanced degree preferred.
  • Proven 5-8 years experience in designing, implementing solutions on the Azure ecosystem including expertise in Azure services such as Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure Data Lake Storage, and Azure SQL Database, Azure Synapse, PowerBI etc.

    (Minimum 4 years in Azure Data Bricks)
  • Experience with big data technologies such as Apache Spark, Hadoop, or similar frameworks.
  • Solid understanding of cloud computing concepts and experience with cloud infrastructure management and provisioning.
  • Solid understanding of network security concepts and technologies (such as firewalls, VPNs, intrusion detection/prevention systems, etc.) and data security concepts and technologies (such as access controls, encryption, observability, privacy laws/regulations, etc.)
  • Experience in a Retail setup is preferred
  • Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect Expert is preferred


Job Description

  • Responsible for the design, implementation, and optimization of data solutions as an expert Azure Data Engineer with 6-8 years of experience.
  • Proficiency in programming languages like Python, SQL, or Scala for data manipulation, transformation, and analysis
  • Expertise in data modelling, data warehousing, and data integration concepts.

  • Sound knowledge of data governance practices, data quality management, and data security principles.
  • Develop efficient ETL pipelines using Azure Data Factory and ensure data quality and storage via Azure Data Lake.
  • Utilize your proficiency in complex stored procedures within Azure Databricks to enable advanced analytics on data volumes exceeding 50TB.
  • Collaborate cross-functionally to contribute to data-driven initiatives, leveraging Azure Synapse Analytics to provide actionable insights.
  • Apply your deep understanding of the retail domain to enhance data strategies and solutions for retail-specific challenges.
  • Play a pivotal role in shaping our organization's data-driven journey, driving innovation through data analytics and insights.
  • Optimize data storage, processing and retrieval mechanisms for performance, cost, and scalability using data storage services (such as Azure Data Lake Storage, Azure SQL Database, etc.), data processing services (such as Azure Data Bricks, Azure Synapse, etc.) and data visualization (PowerBI, Qlik, etc.) & integration services (Data API builder, logic apps, etc.)
  • Monitor and troubleshoot data platform performance, identify and resolve issues, and provide recommendations for continuous improvement.
  • Collaborate with DevOps teams to automate deployment, configuration, and monitoring processes using Azure DevOps, PowerShell, or other relevant tools.
  • Stay up to date with the latest trends and advancements in cloud data services and provide recommendations on adopting new technologies or features to enhance the data platform.
  • Document technical designs, procedures, and guidelines for data platform engineering and operations

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.

139226 Jobs in India
139226
10023 Jobs in Bengaluru
10023
Download Data Pipeline Jobs Trends in Bengaluru and India

Are You Looking for Data Pipeline Engineer Job?

Great news! is currently hiring and seeking a Data Pipeline Engineer 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 Landmark Group 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 Engineer 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 Engineer?

Key qualifications for Data Pipeline Engineer 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 Engineer Job Success

Landmark Group interview tips for Data Pipeline Engineer

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

Before the Interview:

Research: Learn about the Landmark Group'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.

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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 Engineer interview at Landmark Group, 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 Landmark Group'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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