Data Engineer

As a Data Engineer at Myntra, you will be responsible for designing, building, and maintaining the data infrastructure that powers our data and analytics capabilities. This includes building scalable and fault-tolerant data pipelines, managing data warehouses, and developing tools and frameworks to enable data-driven decision making across the organization. Key Responsibilities: - Design and implement scalable, efficient, and fault-tolerant data pipelines to ingest, process, and transform data from various sources. - Develop and maintain data warehousing solutions, including data modeling, ETL processes, and reporting tools. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Continuously optimize and improve the performance, reliability, and security of the data infrastructure. - Participate in the evolution of Myntra's data architecture and strategy. - Mentor and guide junior members of the data engineering team. Requirements: - 3-5 years of experience in data engineering or a related field. - Proficient in technologies like Spark, Hadoop, Kafka, Airflow, Redshift, BigQuery, etc. - Strong programming skills in Python, Scala, or Java. - Experience in building and maintaining data pipelines and data warehouses. - Knowledge of cloud computing platforms like AWS, GCP, or Azure. - Excellent problem-solving and analytical skills. - Good communication and collaboration skills.

Myntra is India's leading platform for fashion and lifestyle. We are a part of the Flipkart Group, and work towards transforming the shopping experience by leveraging technology, data, and innovation.