Job Title : Senior Data Engineer
Salary : Rs 20,25000 per year
Location : Bengaluru
Company : Myntra
Qualifications : Any Graduate
Experience : 2 – 4 Years
ABOUT MYNTRA
Myntra is an Indian fashion e-commerce employer headquartered in Bangalore, Karnataka. Founded in 2007 through Mukesh Bansal, Ashutosh Lalwani, and Vineet Saxena, Myntra initially targeted on customized gift gadgets but pivoted to emerge as a fashion and way of Life- centered platform.In 2014, it was received by means of Flipkart, which in addition better its market presence.
Today, Myntra is one in all India’s biggest online style shops, providing a extensive variety of clothing, shoes, accessories, and splendor products from home and global manufacturers. The platform caters to diverse customer segments thru its internet site and app, imparting a continuing shopping experience with functions like easy returns, a couple of charge alternatives, and consumer-friendly regulations.
Myntra has also expanded its services to encompass domestic furnishing and décor items, thereby diversifying its product portfolio. The employer has leveraged technology and statistics analytics to decorate patron engagement and optimize operations, making it a desired preference for style fans throughout India.
Job Overview
A Senior Data Engineer oversees the design, implementation, and preservation of information infrastructure and pipelines that guide facts-driven tasks inside an organization. Responsibilities encompass handling huge datasets, ensuring records fine and integrity, optimizing overall performance, and integrating superior analytics solutions. They collaborate closely with data scientists, analysts, and stakeholders to recognize necessities and supply scalable statistics answers. Strong technical talents in programming, database management, and cloud platforms are critical, alongside information in ETL tactics, statistics modeling, and a deep know-how of data governance principles.
Qualifications and skills of a Senior Data Engineer:
1. Technical Proficiency:
Senior Data Engineers ought to reveal advanced talent in:
- Programming Languages: Expertise in languages like Python, Java, Scala, or similar for records manipulation, scripting, and automation.
- Database Management: Strong expertise of SQL and NoSQL databases (e.G., PostgreSQL, MySQL, MongoDB), which include schema design, optimization, and querying.
- Big Data Technologies: Hands-on enjoy with dispensed computing frameworks inclusive of Hadoop, Spark, or Flink for processing large-scale datasets.
- Cloud Platforms: Proficiency in cloud offerings (e.G., AWS, Azure, Google Cloud) for constructing scalable and dependable records pipelines and storage solutions.
2. Data Engineering Skills:
- Data Pipelines: Designing and implementing robust ETL (Extract, Transform, Load) pipelines to integrate information from various sources into statistics warehouses or information lakes.
- Data Modeling: Expertise in designing statistics fashions that guide enterprise requirements and ensure efficient information garage and retrieval.
- Data Quality and Governance: Implementing tactics and gear to make certain statistics quality, consistency, and adherence to regulatory necessities (e.G., GDPR, HIPAA).
- Streaming Data: Experience with real-time statistics processing and streaming technologies (e.G., Kafka, Kinesis) to deal with continuous records ingestion and processing.
3. Analytical Skills:
- Problem-Solving: Ability to investigate complicated records-associated troubles, pick out root causes, and put in force powerful solutions.
- Performance Optimization: Optimizing statistics pipelines and queries for overall performance and performance, thinking about scalability and cost-effectiveness.(Senior Data Engineer)
- Data Visualization: Familiarity with data visualization gear (e.G., Tableau, Power BI) to create dashboards and reviews that provide actionable insights.
4. Soft Skills:
- Communication: Strong interpersonal talents to collaborate with go-useful groups, articulate technical concepts to non-technical stakeholders, and drive data-driven selection-making.
- Project Management: Experience in leading records engineering initiatives, managing timelines, priorities, and sources efficiently.
- Adaptability: Ability to thrive in a fast-paced environment, fast analyze new technology, and adapt to evolving business desires.
- Attention to Detail: Ensuring accuracy and precision in data handling and processing to keep facts integrity and reliability.
5. Education and Experience:
- Educational Background: Typically, a bachelor’s or grasp’s diploma in Computer Science, Engineering, Information Systems, or a related area.
- Professional Experience: Several years of experience in information engineering roles, steadily taking over greater duty and management.
- Certifications: Relevant certifications inclusive of AWS Certified Big Data – Specialty or Google Professional Data Engineer may be positive.
6. Additional Considerations:
- Team Leadership: Experience mentoring junior team members, supplying technical guidance, and fostering a collaborative team environment.(Senior Data Engineer)
- Industry Knowledge: Understanding of enterprise-unique data challenges and great practices (e.G., healthcare, finance, e-commerce) may be beneficial.
Apply Now
Other jobs
