Lead Data Engineer Job at Taazaa Inc (Noida)

Lead Data Engineer

Taazaa Inc

Location:
India , Noida

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We’re looking for a Senior/Lead Data Engineer to join our team. We are seeking a highly skilled Senior/Lead Data Engineer with 7–9 years of experience to design, build, and maintain scalable data pipelines and infrastructure. This role focuses on enabling analytics, operational reporting, and AI/ML workloads. You will collaborate closely with data analysts, data scientists, and engineering teams to ensure data availability, quality, and performance, while contributing to AI-enabled data products and ML pipeline development.

Job Responsibility:

Design, develop, and maintain scalable ETL/ELT pipelines for processing large datasets
Build data pipelines to ingest, transform, and load data into data lakes, warehouses, and feature stores
Optimise data workflows for performance, reliability, and scalability
Integrate data from multiple sources, including APIs, databases, and file systems (JSON, CSV, Parquet)
Manage relational and non-relational databases, including columnar databases like ClickHouse
Ensure efficient data storage and retrieval for both analytics and ML workloads
Implement data quality checks, validation frameworks, and monitoring systems
Maintain data lineage, metadata management, and governance standards
Ensure data accuracy, consistency, and compliance for analytics and AI/ML use cases
Deploy and manage data solutions on cloud platforms (AWS, Azure, GCP) or on-prem environments
Work with cloud data services such as Redshift, Big Query, S3, RDS, and Azure Synapse
Monitor and optimise infrastructure for cost, performance, and scalability
Collaborate with data scientists to build and operationalise feature engineering pipelines
Develop and manage feature stores (e.g., Feast, Tecton)
Support ML pipelines for training, batch processing, and real-time inference
Ensure proper dataset versioning, schema management, and data validation for ML workflows
Understand model monitoring, metadata tracking, and data drift concepts
Work closely with cross-functional teams to understand business and technical requirements
Provide data-driven insights to support decision-making and product development
Contribute to building scalable, AI-driven data platforms

Requirements:

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
7–9 years of experience as a Data Engineer or in a similar role
Strong experience in building and maintaining ETL/ELT pipelines
Experience supporting analytics and AI/ML data workflows
Hands-on experience with ETL tools such as Apache Airflow, Airbyte, and dbt
Strong expertise in SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, Redis)
Proficiency in Python and Shell scripting for data processing and automation
Experience with cloud platforms (AWS, Azure, GCP) and their data services
Familiarity with data warehousing solutions such as Amazon Redshift or Snowflake
Experience with containerization tools like Docker and orchestration using Kubernetes
Understanding of CI/CD pipelines for deploying data and ML workflows
Experience with BI tools (Power BI preferred)
Strong analytical and problem-solving skills
Ability to manage multiple projects and priorities
Excellent communication and collaboration skills
High attention to detail and data quality
Ability to work in a fast-paced, evolving environment
Leadership & Mentorship: Guide and mentor junior engineers, promoting best practices
Effective Communication: Clearly articulate technical concepts to stakeholders
Problem-Solving Attitude: Proactively identify issues and deliver solutions
Collaboration & Teamwork: Work effectively across teams to achieve shared goals
Adaptability & Flexibility: Stay updated with emerging technologies and adapt quickly

Nice to have:

Experience with big data technologies like Hadoop, Spark, or Kafka
Familiarity with machine learning pipelines and feature engineering workflows
Experience with columnar databases such as ClickHouse
Exposure to vector databases (Pinecone, Chroma, pgvector)
Experience working on AI/ML data platforms, feature stores, or LLM-based solutions

What we offer:

Competitive salaries
Health benefits
Various perks
Competitive compensation and performance-based incentives
Opportunities for professional growth through workshops and certifications
Flexible work-life balance with remote options
Collaborative culture
Exposure to diverse projects across various industries
Clear career advancement pathways
Comprehensive health benefits
Perks like team-building activities

Additional Information:

Job Posted:
April 16, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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