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.
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