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Technical Product Manager
Technical Product Manager
LogIQ Labs Pvt.Ltd.'s logo

Technical Product Manager

HR eShipz's profile picture
Posted by HR eShipz
2 - 3 yrs
₹4L - ₹10L / yr
Bengaluru (Bangalore)
Skills
ETL
Data processing

1. Roadmap & Strategy (The "Why")

  • Own the product roadmap for the Data Platform, prioritizing features like real-time ingestion, data quality frameworks, and self-service analytics.
  • Translate high-level business questions (e.g., "We need to track customer churn in real-time") into technical requirements for ETL pipelines.
  • Define Service Level Agreements (SLAs) for data freshness, availability, and quality.

2. Technical Execution (The "What")

  • Write detailed Technical Product Requirements (PRDs) that specify source-to-target mappings, transformation logic, and API integration requirements.
  • Collaborate with Data Engineers to decide on architecture trade-offs (e.g., Batch vs. Streaming, Build vs. Buy).
  • Champion the adoption of Data Observability tools to detect pipeline failures before business users do.

3. Data Governance & Quality

  • Define and enforce data modeling standards (Star Schema, Snowflake Schema).
  • Ensure compliance with privacy regulations (GDPR/CCPA/DPDP) regarding how data is ingested, stored, and masked.
  • Manage the "Data Dictionary" to ensure all stakeholders understand what specific metrics actually mean.

4. Stakeholder Management

  • Act as the primary liaison between Data Producers (Software Engineers sending data) and Data Consumers (BI Analysts, Data Scientists).
  • Manage dependencies: If the backend team changes a database column, ensure your ETL roadmap accounts for it.

šŸŽ“ What We Are Looking For

Technical "Must-Haves":

  • SQL Mastery: You can write complex queries to explore data, validate transformations, and debug issues. You don't wait for an analyst to pull data for you.
  • ETL Knowledge: Deep understanding of data integration concepts: Change Data Capture (CDC), Batching, Streaming, Upserts, and Idempotency.
  • Data Modeling: You understand Dimensional Modeling, Data Lakes vs. Data Warehouses, and normalization/denormalization.
  • API Fluency: You understand how to pull data from 3rd party REST/GraphQL APIs and handle rate limits/pagination.

Product Skills:

  • Experience writing technical specs for backend/data teams.
  • Ability to prioritize technical debt vs. new features.
  • Strong communication skills to explain "Data Latency" to non-technical executives.

Preferred Tech Stack Exposure:

  • Orchestration: Airflow, Dagster, or Prefect.
  • Warehousing: Snowflake, BigQuery, or Redshift.
  • Transformation: dbt (data build tool).
  • Streaming: Kafka or Kinesis.


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About LogIQ Labs Pvt.Ltd.

Founded :
2019
Type :
Services
Size :
20-100
Stage :
Raised funding

About

]eShipz: Simplifying Global Shipping for Businesses: At eShipz, we are revolutionizing how businesses manage their shipping processes. Our platform is designed to offer seamless multi-carrier integration, enabling businesses of all sizes to ship effortlessly across the globe. Whether you're an e-commerce brand, a manufacturer, or a logistics provider, eShipz helps streamline your supply chain with real-time tracking, automated shipping labels, cost-effective shipping rates, and comprehensive reporting.


Our goal is to empower businesses by simplifying logistics, reducing shipping costs, and improving operational efficiency. With an easy-to-use dashboard and a dedicated support team, eShipz ensures that you focus on scaling your business while we handle your shipping needs.


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