Impetus

Job Title: Product Manager

Job Description

Bachelor or master’s degree in computer science or equivalent experience.
Worked as Product Owner before and took responsibility for a product or project delivery.
Well-versed with data warehouse modernization to Big Data and Cloud environments.
Good knowledge* of any of the Cloud (AWS/Azure/GCP) – Must Have
Practical experience with continuous integration and continuous delivery workflows.
Self-motivated with strong organizational/prioritization skills and ability to multi-task with close attention to detail.
Good communication skills
Experience in working within a distributed agile team
Experience in handling migration projects – Good to Have
 

*Data Ingestion, Processing, and Orchestration knowledge

Roles & Responsibilities

Responsible for coming up with innovative and novel ideas for the product.
Define product releases, features, and roadmap.
Collaborate with product teams on defining product objectives, including creating a product roadmap, delivery, market research, customer feedback, and stakeholder inputs.
Work with the Engineering teams to communicate release goals and be a part of the product lifecycle. Work closely with the UX and UI team to create the best user experience for the end customer.
Work with the Marketing team to define GTM activities.
Interface with Sales & Customer teams to identify customer needs and product gaps
Market and competition analysis activities.
Participate in the Agile ceremonies with the team, define epics, user stories, acceptance criteria
Ensure product usability from the end-user perspective

Mandatory Skills

Product Management, DWH, Big Data

• Experience of providing technical leadership in the Big Data space (Hadoop Stack like Spark, M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, etc. Should have contributed to open source Big Data technologies.
• Expert-level proficiency in Python
• Experience in visualizing and evangelizing next-generation infrastructure in Big Data space (Batch, Near Real-time, Real-time technologies).
• Passionate for continuous learning, experimenting, applying, and contributing towards cutting edge open source technologies and software paradigms
• Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop 2.0 (YARN; MR & HDFS) and associated technologies.
• Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib)
  Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, SWF services, and the AWS CLI)
• Experience working within a Linux computing environment, and use of command-line tools including knowledge of shell/Python scripting for automating common tasks
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