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Walmart

Compare

3.8

based on 2.3k Reviews

290 Walmart Jobs

SENIOR, DATA ENGINEER

Walmart Labs

3.8

based on 2.3k Reviews

4-8 years

₹ 11.4 - 33.4L/yr (AmbitionBox estimate)

Bangalore / Bengaluru

1 vacancy

SENIOR, DATA ENGINEER

Walmart

posted 17hr ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Data Analysis Python Computer Networking SQL Clinical Data Management

+ 4 more

Job Description

Position Summary... Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.

What youll do...

About Team and Position Summary:

The Senior Data Engineer will be a part of a dynamic and innovative data engineering team responsible for the design, development, and maintenance of the companys data infrastructure. This team is at the forefront of advancing the companys data capabilities and plays a crucial role in ensuring that the organization can leverage data to drive business decisions and growth. This role requires a highly experienced individual with a deep understanding of data systems and processes, as well as the ability to work collaboratively within a team and across departments. The Senior Data Engineer will also be responsible for mentoring junior engineers and contributing to the continuous improvement of the teams processes and capabilities.

Key Responsibilities:

1. Designing, constructing, installing, testing, and maintaining highly scalable data management systems.

2. Ensuring systems meet business requirements and industry practices.

3. Integrating up-and-coming data management and software engineering technologies into existing data structures.

4. Developing set processes for data mining, data modelling, and data production.

5. Collaborating with data scientists and architects on several projects.

6. Conducting complex data analysis and report results.

7. Providing technical leadership and support to the data team.

8. Working on improving data reliability, efficiency, and quality.

9. Developing and implementing data standards and common data elements when needed.

10. Monitoring analytics and metrics results.

11. Mentoring and guiding junior data engineers in their work.

12. Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.

13. Ensuring data security and compliance with relevant regulations.

14. Working with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Key Challenges and Opportunities

1. Data Complexity: Managing complex and large datasets, transforming them into a format that can be easily analyzed, can be a significant challenge.

2. Data Quality: Ensuring the quality and accuracy of data is another major challenge. The Senior Data Engineer must implement robust processes and systems to identify and correct any inaccuracies.

3. Data Security: Protecting sensitive data from breaches and ensuring compliance with data protection regulations can be a tricky task.

4. Rapidly Changing Technologies: The technology landscape changes quickly, and keeping up with new tools and techniques is a constant challenge.

5. Skill Gap: As a senior member of the team, there might be a need to mentor or guide junior data engineers who might lack the necessary skills or experience. This can be time-consuming.

Opportunities:

1. Advanced Technologies: The rise of AI and machine learning presents a great opportunity for Senior Data Engineers to develop sophisticated data systems and models.

2. Increased Demand for Data: As businesses become more data-driven, there is a growing demand for skilled data engineers, leading to numerous career advancement opportunities.

3. Strategic Influence: As a Senior Data Engineer, theres an opportunity to influence strategic decisions by providing insights from data.

4. Skill Development: The role provides plenty of opportunities for learning and development, particularly in areas such as cloud technologies, big data platforms, and advanced analytics.

5. Innovation: Given the nature of the role, theres a lot of scope for innovation in developing new methods for data processing and analysis.

What youll bring:

1. Extensive Experience: As a Senior Data Engineer, you should bring 7+ years of experience in data engineering, data science, or in a related field.

2. Technical Proficiency: You should have a strong background in SQL, Python, Java, or other programming languages, as well as experience with big data tools and platforms like Hadoop, Spark, or Kafka.

3. Knowledge of Data Warehousing: You should bring knowledge of data warehousing and ETL tools, and an understanding of data architecture, infrastructure, and distributed computing.

4. Expertise in Data Modeling: You should be adept at data modeling and able to design, build, and manage relational and non-relational databases.

5. Strong Analytical Skills: As a senior data engineer, you should possess strong analytical skills to work with large amounts of data and provide insights.

6. Problem-Solving Ability: Youll need a strong problem-solving ability to overcome the challenges associated with dealing with complex data.

7. Leadership Skills: As a senior member of the team, you should bring leadership skills to guide and mentor junior data engineers.

8. Knowledge of Data Privacy Regulations: You should be familiar with data privacy regulations and best practices to ensure that data is handled securely and responsibly.

9. Project Management Skills: You should bring strong project management skills, including the ability to manage multiple projects concurrently and meet deadlines.

10. Communication Skills: You should have excellent communication skills to collaborate with different stakeholders and explain complex technical concepts in a clear and understandable way.

Employment Type: Full Time, Permanent

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People are getting interviews at Walmart through

(based on 222 Walmart interviews)

Job Portal

Referral

Company Website

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Campus Placement

Recruitment Consultant

41%

17%

10%

19% candidates got the interview through other sources.

High Confidence

What people at Walmart are saying

3.0

Rating based on 21 Data Engineer reviews

Anonymous · DBA / Data warehousing in Bangalore / Bengaluru

Likes

Perks are good. Free hand for developers to work.

Dislikes

Management expectations are highly un-realistic. Change of culture from being a Product oriented company to a Service based company. Too much of bad politics.

Read 21 reviews