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Arista Networks - Senior Data Engineer - ETL/Python Job Opening In Bengaluru – Now Hiring Arista


Job description

<p><p><b>Description Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments.<br/><br/>Arista is a well-established and profitable company with over $7 billion in revenue.<br/><br/>Aristas award-winning platforms, ranging in Ethernet speeds up to 800G bits per second, redefine scalability, agility, and resilience.<br/><br/>Arista is a founding member of the Ultra Ethernet consortium.<br/><br/>We have shipped over 20 million cloud networking ports worldwide with CloudVision and EOS, an advanced network operating system.<br/><br/>Arista is committed to open standards, and its products are available worldwide directly and through partners.<br/><br/>At Arista, we value the diversity of thought and perspectives each employee brings.<br/><br/>We believe fostering an inclusive environment where individuals from various backgrounds and experiences feel welcome is essential for driving creativity and innovation.<br/><br/>Our commitment to excellence has earned us several prestigious awards, such as the Great Place to Work Survey for Best Engineering Team and Best Company for Diversity, Compensation, and Work-Life Balance.<br/><br/>At Arista, we take pride in our track record of success and strive to maintain the highest quality and performance standards in everything we do.<br/><br/><b>Job Description :</b><br/><br/><b>Who Youll Work With :</b><br/><br/>As a Senior Data Engineer on the BI team for Manufacturing, Software, and Hardware Engineering, you will collaborate on:<br/><br/>- Designing and optimizing data and reporting applications to ensure efficient data service delivery.<br/><br/>- Partnering with manufacturing teams to address security and data requirements.<br/><br/>- Managing SQL Server, T-SQL, stored procedures, and database administration.<br/><br/>- Working with BigQuery and Microsoft Fabric for data storage and processing.<br/><br/>- Developing and maintaining data pipelines, ETLs, data processing workflows, APIs, and data migration using Python and other programming languages.<br/><br/>- Leveraging business intelligence tools such as Sisense and Power BI for reporting and analytics.<br/><br/>- Integrating and processing non-relational data sources, including flat files, Excel, JSON, and APIs.<br/><br/><b>What Youll Do :</b><br/><br/>- Design, develop, and optimize data and reporting applications to ensure seamless data service delivery.<br/><br/>- Collaborate with manufacturing teams to meet security and data governance requirements.<br/><br/>- Manage and maintain SQL Server, T-SQL, stored procedures, and database administration.<br/><br/>- Work with BigQuery and Microsoft Fabric for data storage, processing, and analytics.<br/><br/>- Develop and maintain data pipelines, ETLs, data processing workflows, APIs, and data migration using Python and other programming languages.<br/><br/>- Utilize BI tools such as Sisense and Power BI to build interactive dashboards and reports.<br/><br/>- Process and integrate non-relational data sources, including flat files, Excel, JSON, and APIs.<br/><br/>- Document implementations, configurations, and support requirements for data applications.<br/><br/>- Evaluate and recommend new technologies, design patterns, and methodologies to enhance data solutions.<br/><br/>- Collaborate with cross-functional teams to troubleshoot issues and ensure data accuracy and performance.<br/><br/><b>Qualifications :</b><br/><br/><b>Required :</b><br/><br/>- 4+ years of experience in SQL Server, T-SQL, and database query optimization.<br/><br/>- 2+ years of experience with Python, Java, C#, or a similar programming language.<br/><br/>- Strong expertise in system analysis, relational data modeling, and data integration.<br/><br/>- Experience with ETL processes, data pipeline development, and data migration strategies.<br/><br/>- Familiarity with BI tools like Sisense, Power BI, or similar platforms.<br/><br/>- Proficiency in working with non-relational data sources, including flat files, Excel, JSON, and APIs.<br/><br/>- Ability to manage multiple projects, prioritize tasks effectively, and work independently.<br/><br/>- Strong analytical, problem-solving, and communication skills for cross-team collaboration.<br/><br/><b>Preferred :</b><br/><br/>- Experience working with manufacturing data.<br/><br/>- Experience with Sisense BI tools and advanced Power BI capabilities.<br/><br/>- Hands-on experience with BigQuery and Microsoft Fabric for data processing and analytics.<br/><br/><b>Education :</b><br/><br/>- Bachelor's degree in Computer Science, Management Information Systems, or a related field.<br/><br/></p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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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.

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Key qualifications for Arista Networks Senior Data Engineer ETL/Python 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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Arista interview tips for Arista Networks   Senior Data Engineer   ETL/Python

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Before the Interview:

Research: Learn about the Arista'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.

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During the Interview:

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Final Thought:

To prepare for your Arista Networks Senior Data Engineer ETL/Python interview at Arista, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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