November 21, 2024
By K Farheen
216
Jobs

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

Myntra Hiring Senior Data Engineer

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.

Myntra Hiring Senior Data Engineer

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.