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Job Description

Description :


Tango Eye, company specializes in AI-powered video analytics, transforming CCTV data into actionable insights that help retailers understand customer shopping behaviors and evaluate staff efficiency.


Position : Data Lead.


Location : Chennai.


Experience : 10- 14 years.


Employment Type : Full-time.


Role Summary :


We are seeking an experienced Data Lead to design, build, and manage scalable data systems including data pipelines, data lakes, and enterprise-level data architecture.


This role requires strong technical leadership, hands-on engineering expertise, and the ability to lead and mentor a high-performing data team.


Key Responsibilities :


- Lead the design, development, and optimization of end-to-end data pipelines (batch & real-time).


- Architect and maintain enterprise-scale data lakes and data platforms.


- Define and implement data structures, data models, and schema design.


- Design and maintain data architecture diagrams, flow diagrams, and technical documentation.


- Ensure best practices for data security, governance, quality, and performance.


- Own data integration from multiple source systems (APIs, DBs, SaaS, streaming platforms).


- Collaborate with product, engineering, analytics, and business stakeholders.


- Lead cloud data platform architecture (AWS / Azure / GCP).


- Drive cost optimization, performance tuning, and system scalability.


- Manage and mentor data engineers, analysts, and architects.


- Oversee sprint planning, delivery, and code quality standards.


- Ensure high availability, monitoring, and incident response for data platforms.


Required Technical Skills :


Strong hands-on experience with :


- Data Pipelines : Airflow, Dagster, AWS Glue, Azure Data Factory, Kafka.


- Data Lakes : S3, ADLS, GCS, Delta Lake, Iceberg, Hudi.


- Databases : Snowflake, BigQuery, Redshift, Synapse.


- Programming : Python, SQL, Spark, Scala (good to have).


Expertise In :


- Data Modeling : Star schema, Snowflake schema, normalization/denormalization.


- ETL/ELT frameworks.


- Distributed systems & big data architectures.


Strong knowledge of :


- Data Governance, Lineage, and Cataloging.


- DevOps for data (CI/CD pipelines, Terraform, GitOps).


Leadership & Management Skills :


- Proven experience in leading and scaling data teams.


- Strong stakeholder management and communication skills.


- Ability to translate business requirements into technical architecture.


- Experience in project planning, delivery management, and performance reviews.


- Mentorship, coaching, and talent development.


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