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.