Full-Time

Data Lead

Posted on 10/1/2025

ShyftLabs

ShyftLabs

11-50 employees

Data-driven decision-making platform for organizations

No salary listed

Noida, Uttar Pradesh, India

In Person

Category
Data & Analytics (1)
Required Skills
Python
Airflow
NoSQL
BigQuery
SQL
Postgres
ETL
MongoDB
Data Governance
Databricks
Cassandra
Snowflake
Requirements
  • 8+ years of experience in data engineering or analytics engineering with a strong focus on both data modeling and infrastructure.
  • 2+ years of experience of managing and guiding data team to realize complicated data features.
  • Proficient in SQL, Python, and working with modern data stack tools (e.g., DBT, Databricks, Airflow).
  • Experience managing distributed and NoSQL databases (e.g., Cassandra, MongoDB), and cloud data warehouses (e.g., Snowflake, BigQuery).
  • Ability to translate business requirements into scalable, maintainable data systems.
Responsibilities
  • Lead the development and implementation of booking and CMS data features according to the roadmap.
  • Build, optimize, and manage robust data pipelines and ETL/ELT processes using tools like Airflow, DBT, and Databricks.
  • Oversee infrastructure and storage layers across distributed systems (e.g., Cassandra, MongoDB, Postgres), ensuring scalability, availability, and performance.
  • Support and partner with Data PMs to deliver clean, actionable data for reporting, analytics, and experimentation.
  • Handle client data queries, investigate anomalies, and proactively improve data quality and debugging workflows.
  • Manage a team of data engineers and analysts: provide architectural direction, review code, and support career growth.
  • Collaborate with DevOps/Platform teams on deployment, monitoring, and performance optimization of data services.
  • Champion best practices in data governance, version control, security, and documentation.
Desired Qualifications
  • Strong understanding of scalable data architecture and real-time streaming pipelines is a plus.
  • Familiarity with booking platforms, CMS architectures, or event-based tracking systems is a plus!

ShyftLabs helps organizations adopt a data-first approach to decision making by designing and implementing processes that turn data into actionable insights. Its solution builds structured analytics workflows and governance, so teams access trustworthy data, follow defined steps, and act on results with clarity. Unlike tools that only show dashboards, ShyftLabs focuses on repeatable data practices and governance that speed up decisions and reduce ad hoc analysis. The goal is to help organizations stay ahead of the competition by enabling faster, more informed decisions across the business.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Canada

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • ShyftLabs hires Apache Druid Engineers and Data Architects in Gurugram and Toronto.
  • ShyftLabs powers 200+ experts streamlining operations for major public agencies.
  • ShyftLabs modernizes legacy systems with cloud migration for scalable citizen services.

What critics are saying

  • Databricks Lakehouse erodes consulting margins as clients build in-house pipelines.
  • Snowflake Cortex AI bypasses ShyftLabs BI with native serverless ML functions.
  • Talent exodus to AWS drains ShyftLabs engineers amid 30% higher salaries.

What makes ShyftLabs unique

  • ShyftLabs delivers privacy-first Carter platform for secure public sector AI.
  • ShyftLabs unlocked $500 million value via data and AI for retailers and health.
  • ShyftLabs builds custom low-latency pipelines embedding intelligence for real-time decisions.

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Benefits

Health Insurance

Hybrid Work Options

Professional Development Budget

INACTIVE