SDE 2 - Data Engineer
Mumbai
Fynd
Founded in 2012, Fynd is a multiplatform tech company specializing in retail-tech solutions, empowering 2,300+ brands. Explore our work in Commerce, AI, Big Data, Payments, Gaming, NFT, and LearningFounded in 2012 by 3 IIT Bombay alumni: Farooq Adam, Harsh Shah and Sreeraman MG.
We are headquartered in Mumbai and are a company of more than 750 people. Fynd has 1000+ brands under management, more than 10k stores and servicing 23k + pin codes.
Everybody these days is making products, everyone is hiring technology ninjas! We aren’t looking for ninjas, samurais or warriors, we are looking for YOU:
* If you know the difference between worKING and work-eh-ing* You know when to stop, how to unwind and take a breakk!* Unafraid to ask for help & unashamed to ask again* If you are good at what you do & acknowledge when you mess up (We all mess up some time)* You learn, execute, learn again and talk about the insights you gained
Then YOU are the chosen one that we are looking for….
We're looking for an SDE 2 to join our Operations Engineering Team. The Operations Engineering Team forms the backbone of our core business. We build and iterate over our core platform that handles orders, payments, delivery promises, order tracking, and logistics integrations to name a few. Our products are actively used by Fynd users, Operations, Delights, and Finance teams. Our team consists of generalist engineers who work on building REST APIs, Internal tools, and Infrastructure for all these users.
Responsibilities
- Develops and maintains efficient and scalable data pipelines for 1M/sec+ events
- Leverages the right tools for the right job to deliver testable, maintainable, and modern data solutions
- Build the solutions required for extraction, transformation, and loading of data from a wide variety of data sources using in trend stable technologies
- Designs and evaluates open source and vendor tools for data lineage.
- You have been personally designing and writing code for data-oriented scalable systems
- Designs data integrations and data quality framework.
- Ensure product quality by enforcing testing standards, measuring release defect rates, and leading other quality initiatives.
- Performs data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
- Collaborate with other team members toward shared product goals, and communicate team performance through shared metrics.
- Utilize sound engineering practices to deliver functional, stable, and scalable solutions to new or existing problems.
- Work in a fast-paced, flexible, and fun environment, with a talented, diverse, and forward-thinking team.
Qualification
- Experience with object-oriented/object function scripting languages: Python or Java or Scala.
- Advanced knowledge in SQL and data warehousing solutions like Bigquery, Athena, Redshift, or any other
- Experience in building data pipeline architectures
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Experience with Apache Kafka and other data technologies like Kafka-Connect, Spark, Nifi is a plus
- Experience in containerized technologies like Kubernetes, docker
- Experience with any of cloud services like AWS, Google Cloud, or Azure
- Experience in working with cross-functional teams to get requirements
- Create and maintain optimal data pipeline architecture with multiple sources and destinations,
- Exposure to messaging queues like Kafka or Kinesis.
- Exposure to cloud data-warehousing solutions like BigQuery or Redshift or Snowflake.
- Proficiency with database technology such as MongoDB or MySQL or Postgres.
- Strong analytic skills related to working with unstructured datasets.
Growth* We are a company that has grown more than 2x in people, 3x in products and 4x in-office presence, in the past 1 year alone. We are looking at new product lines, international markets and brilliant people to grow even further. * We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially.* Flex University: We help you upskill by organizing in-house courses on important subjects* Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you.
Other Perks * A lucrative Retention Bonus* ESOP for people who go above and beyond* Best in the market salary and appraisal
CultureOur Glassdoor rating of 4.5 conveys what our people already know, we consistently work towards a better us. * We listen to people: Make big + small changes wherever required. * Go on Workcations all year long. * Host weekly, quarterly and annual events/parties.
Wellness* Mediclaim policy for you + parents + spouse + kids* Experienced therapist for better mental health* Coaching to improve productivity & work-life balance
Flexible WorkingWe follow simple math for a great work-life equation! Minimum 3 days of work from office plus 2 days from home means a relaxed yet productive work week!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Athena AWS Azure Big Data BigQuery Crypto Data analysis DataOps Data pipelines Data quality Data Warehousing Docker Engineering Finance GCP Google Cloud Kafka Kinesis Kubernetes Machine Learning Mathematics MongoDB MySQL Open Source Pipelines PostgreSQL Python Redshift Scala Snowflake Spark SQL Testing
Perks/benefits: Career development Flex hours Salary bonus Team events Wellness
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