Job Title: Senior Data Engineer – Technical Expert / Lead - Noida

Pagaar India; Sector 10; On-site; INR 1,400,000 - 2,000,000; Full time

Benefits offered by this job

Competitive compensation

Opportunity to lead strategic initiatives

Learning and certification support

Job summary

Pagaar India is seeking a Senior Data Engineer – Technical Expert to lead the design and optimization of data infrastructure and pipelines. You will mentor junior engineers and collaborate with cross-functional teams to deliver high-performance data solutions.

The ideal candidate should have strong expertise in data modeling, ETL frameworks, and cloud platforms, alongside 7-12 years of experience in data engineering. This is a full-time, contract-based position.

Qualifications

• 5+ years of hands-on experience in Google AppSheet & Google Looker.
• Ability to lead and guide existing junior data engineers.
• Strong proficiency in SQL, Python, and/or Scala.

Responsibilities

• Lead the design and implementation of large-scale data pipelines.
• Collaborate with cross-functional teams to deliver data solutions.
• Ensure data integrity through automated validation.

Skills

Data Modeling

SQL

Python

ETL frameworks

Cloud platforms

Leadership

Education

Bachelor’s or Master’s degree in Computer Science or IT

Tools

Google AppSheet

Google Looker

Apache Airflow

Hadoop

Spark

AWS Glue

Job description

# Job Title: Senior Data Engineer – Technical Expert / Lead - NoidaGIRI CONSULTANCYSector 63, Noida, Uttar PradeshPosted 31/05/2026## Job Description**JobTitle: Senior Data Engineer – Technical Expert / Lead****Location:Sector 63 Noida,****Department:Data Engineering / Analytics / Technology****ReportsTo: Head of Data Engineering / Director – Technology**---**JobSummary:**We are looking for a **Senior Data Engineer– Technical Expert** to lead the design, development, and optimization of ourdata infrastructure and pipelines. The ideal candidate will possess deepexpertise in modern data engineering technologies, data modeling, ETLframeworks, and cloud platforms. As a lead-level data professional, you willmentor junior engineers, drive best practices, and collaborate closely withdata scientists, analysts, and product teams to deliver scalable,high-performance data solutions.---**KeyResponsibilities:*** Lead the **design, architecture, and implementation** of large-scale data pipelines and ETL processes.* Develop, optimize, and maintain **data ingestion, transformation, and storage** solutions across multiple systems.* Build and manage **data models, schemas, and data warehouses** to support analytics and reporting needs.* Ensure **data integrity, accuracy, and reliability** through automated validation and monitoring mechanisms.* Collaborate with cross-functional teams (Data Science, BI, Product, DevOps) to define and deliver high-quality data solutions.* Implement and enforce **data engineering standards, best practices, and governance frameworks.*** Oversee **data migration and integration projects** across on-premises and cloud environments (AWS, Azure, or GCP).* Evaluate and recommend new technologies, tools, and methodologies to enhance the data ecosystem.* Lead, mentor, and guide junior engineers, conducting **code reviews and technical training sessions.*** Ensure solutions are scalable, secure, and cost-efficient within the organization’s cloud infrastructure.---**Qualifications& Skills:****5+years of hands-on experience in Google AppSheet & Google Looker****Strongunderstanding of App Script, Data Modeling, and Automation Logic****Abilityto lead and guide existing junior data engineers****Experiencein project delivery, best practices, and workflow design****EngagementType: Full-time contract-based resource****Projecttime line-3-4 months*** **Education:** Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.* **Experience:** 7–12 years of experience in data engineering, with at least **2–3 years in a lead or senior technical role.*** Strong proficiency in **SQL, Python, and/or Scala.*** Expertise in **ETL tools and frameworks** (e.g., Apache Airflow, Informatica, Talend, dbt).* Hands-on experience with **big data technologies** such as Hadoop, Spark, Kafka, or Flink.* Deep understanding of **data modeling, warehousing (Snowflake, Redshift, BigQuery), and OLAP systems.*** Proven experience with **cloud data platforms** (AWS Glue, Azure Data Factory, GCP Dataflow, etc.).* Familiarity with **CI/CD pipelines**, containerization (Docker, Kubernetes), and version control (Git).* Knowledge of **data governance, security, and compliance frameworks.*** Excellent problem-solving, analytical, and leadership skills.* Strong communication and collaboration abilities for cross-functional coordination.---**PreferredQualifications:*** Certification in **AWS, Azure, or GCP Data Engineering**.* Experience in **real-time data processing** and streaming analytics.* Exposure to **machine learning pipelines** or MLOps frameworks.* Familiarity with tools like **Databricks, Terraform, or Apache NiFi.**---**WhatWe Offer:*** Competitive compensation with performance-based incentives.* Opportunity to lead and influence strategic data initiatives.* Exposure to cutting-edge technologies in cloud and big data.* Collaborative, innovation-driven work environment.* Learning and certification support for continuous growth.