Myntra Hiring Senior Data Engineer in Bengaluru | Apply Now

Myntra Hiring Senior Data Engineer: Myntra is hiring a Senior Data Engineer to layout, construct, and maintain scalable information solutions. Senior Data Engineer responsibilities include facts pipeline improvement, database optimization, and permitting records-driven insights. Candidates with an understanding of Python, SQL, Big Data technology, and cloud systems are desired. Join Myntra’s tech group to power innovation in e-commerce analytics.

• Job Title: Senior Data Engineer
• Company: Myntra
• Location: Bengaluru
• Salary: Not Disclosed
• Qualification: Bachelor’s degree 
• Employment Type: Full-Time, Permanent

About Company:

Myntra is one of India’s main online style and way of life shops, offering an extensive range of apparel, shoes, add-ons, and beauty merchandise from top brands. Founded in 2007, Myntra is thought for its modern-day era, seamless buying enjoyment, and customer-centric technique. As part of the Flipkart Group, Myntra has revolutionized e-trade in India with services like personalized suggestions and green transport. With a focus on sustainability and innovation, Myntra continues to redefine fashion retail for hundreds of thousands of customers.

Job Description: Myntra Hiring Senior Data Engineer

Myntra is searching for an experienced Senior Data Engineer to enhance and support its advanced statistics infrastructure. The role requires addressing two essential challenges: managing the amount of ever-developing statistics and ensuring its quality. Data Engineers at Myntra play a pivotal function in developing complicated records ameliorations, integrating structured and unstructured facts, figuring out styles, and creating person-pleasant records views.

Key Responsibilities:

Data Pipeline Development:

• Build and integrate robust, scalable information processing pipelines to help company-stage analytics.
• Architect and maintain records pipelines on Big Data structures, figuring out and resolving backend supply pipe troubles.

Engineering Excellence:

• Implement computerized tracking, alerting, and self-recuperation capabilities for records consumption pipelines.
• Ensure data pipelines are restartable and deal with failures gracefully.

Business Collaboration:

• Collaborate with enterprise and tech groups to design reusable, cross-functional statistics properties.
• Work with engineering and product teams to combine commercial enterprise intelligence solutions and algorithms into the Big Data Platform.

Data Quality and Troubleshooting:

• Maintain the accuracy and pleasantness of information pipelines.
• Resolve facts problems, debug system troubles, and help in reporting and troubleshooting as needed.

Skills and Expertise Required:

Core Skills:

Big Data Systems:

• Hands-on experience in constructing and dealing with facts engineering pipelines and the usage of Spark (Databricks).
• Proficiency in advanced PL/SQL and performance tuning.

Data Modeling:

• Strong know-how of conceptual, logical, and bodily facts fashions.
• Expertise in designing and optimizing Data Lakehouse and Data Warehouse architectures.

Business Intelligence Tools: Ability to leverage gear like Power BI to visualize and interpret records insights successfully.

Programming and Databases:

• Experience with MPP databases including SQL Server and Azure Synapse.
• Familiarity with Unix and Python programming.

Additional Skills:

• Proven know-how in overall performance tuning for Spark and SQL.
• Strong ability to troubleshoot gadgets and data issues independently.
• Excellent conversation and collaboration abilties to interact with each technical and non-technical stakeholder.

Qualifications:

Education:

• Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field.
• Postgraduate degrees in relevant fields are preferred but not mandatory.

Experience:

• 3 to 7 years of experience in data engineering, particularly in building and managing Big Data pipelines.
• Demonstrated expertise in designing scalable solutions for enterprise data needs.

Benefits at Myntra:

Competitive Salary: Attractive reimbursement packages with overall performance-based incentives.

Health and Wellness: Comprehensive medical health insurance, health packages, and gymnasium memberships.

Career Growth: Opportunities for talent improvement, mentorship, and internal promotions.

Work-Life Balance: Flexible painting hours, work-from-domestic options, and worker-pleasant regulations for a balanced lifestyle.

Click Here To Apply Online

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