Principal Data Engineer - Big Data & Cloud

Principal Data Engineer - Big Data & Cloud

Experience: 12 - 15 Years Exp.
Salary : Competitive
Preferred Notice Period: Within 30 Days
Shift: 10:00AM to 7:00PM IST
Opportunity Type: Onsite (Bengaluru)
Placement Type: Permanent

(*Note: This is a requirement for one of Uplers' Clients)

Must have skills required :
Airflow, Hadoop, Kafka, Python, Spark, SQL, ETL

onequince.com (One of Uplers' Clients) is Looking for:
Principal Data Engineer - Big Data & Cloud who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description
Year of Experience: 12 - 15 years.
Responsibilities
● Manage and grow a cross-functional data-engineering team responsible for both Data Products & Platform
● Mentor a group of highly skilled junior & senior engineers by providing technical management, guidance, coaching, best practices and principles
● Active participation in the design, development, delivery, and maintenance of data products & platform
● Responsible for OKR planning, resource planning, execution, and quality of the data products & tools delivered by the group
● Lead the group to build sophisticated products using cutting-edge cloud native technology stack. The products will be used by various internal customers like Data Analysts, ML Engineers & Data Scientists, Management & even external stakeholders
● Work closely with various business stakeholders like Product Management Team, and other Engineering teams to drive the execution of multiple business strategies and technologies
● Act as a point of contact for TCO (total cost of ownership) for Data Platform(Ingestion, Processing, Extraction & Governance)
● Manage and drive production defects & stability improvements to resolution
● Ensure operational efficiency and actively participate in organizational initiatives with the objective of ensuring the highest customer value
● Tailor processes to help manage time-sensitive issues and bring them to appropriate closure

Must Have:
● First hand exposure in managing large scale data ingestion, processing, extraction & governance processes.
● Experience in Big Data technologies(e.g. Apache Hadoop, Spark, Hive, Presto)
● Experience with Message Queues(e.g. Apache Kafka, Kinesis, RabbitMQ)
● Experience with Stream Processing technologies (e.g. Spark Streaming, Flink)
● Proficiency in at least one of the following programming languages - Python, Java or Scala.
● Experience in building Highly Available, Fault Tolerant REST services preferably for data ingestion or serving.
● Good understanding of traditional data-warehousing fundamentals.
● Good exposure to SQL (T-SQL/PL-SQL/SPARK-SQL/HIVE-QL).
● Experience with integrating data across multiple data sources.
● Good understanding of distributed computing principles.
● Strong analytical/quantitative skills and ability to connect Data with business outcomes.

Good To Have:
● Experience with MPP data warehouses (e.g. Snowflake, Redshift).
● Experience with any NoSQL storage(e.g. Redis, DynamoDB, Memcache).

How to apply for this opportunity:
Easy 3-Step Process:
1. Click On Apply! And Register or log in on our portal
2. Upload updated Resume & Complete the Screening Form
3. Increase your chances to get shortlisted & meet the client for the Interview!

About Our Client:
Quince is an affordable luxury brand that sells high-quality fashion and home goods at radically low prices— direct from the factory floor. The company has pioneered a manufacturer-to-consumer (M2C) retail model in which factories produce inventory on a near just-in-time basis and ship their goods directly to consumers' doorsteps, cutting out financial and environmental waste. Quince is headquartered in San Francisco, CA and partners with more than 50 top manufacturers around the world. Most recently, Quince completed a $77 million Series B upround raise. The investment was led by Wellington Management with participation from GGV Capital, and continuing participation from Basis Set Ventures, Insight Partners, Lugard Road, and 8VC.

About Uplers:
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Principal Data Engineer - Big Data & Cloud