
Hybrid
Full-Time
Noida, Uttar Pradesh
India
Skills
Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Python (Programming Language)
Continuous Integration and Continuous Delivery (CI/CD)
SQL
Data Lakes
Big Data
ETL Tools
Data Systems
About the Role
Job Title: Senior Data Engineer
Number of Open Roles: 1
Location: Noida
Experience: 5+ years
About the Company & Role:
We are one of India’s foremost political consulting firms, leveraging the power of data to drive impactful, 360-degree election campaigns. Our unique approach brings together ground intelligence, data engineering, and strategic insight to shape electoral narratives and legislative landscapes.
As a Senior Data Engineer, you will play a key leadership role in building robust, scalable, and high-performance data architectures that power our analytics and campaign strategies. This is an opportunity to drive large-scale data initiatives, mentor junior engineers, and work closely with cross-functional teams to build systems that influence real-world democratic outcomes.
What You'll Do:
● Architect, design, and manage scalable data pipelines for structured and unstructured data.
● Build and maintain data lakes, data warehouses, and ETL frameworks across cloud and on-prem platforms.
● Lead the modernization of our data infrastructure and migrate legacy systems to scalable cloud-native solutions.
● Collaborate with analysts, developers, and campaign strategists to ensure reliable data availability and quality.
● Drive implementation of best practices for data governance, access control, observability, and documentation.
● Guide and mentor junior data engineers and help foster a culture of excellence and innovation.
● Evaluate and implement cutting-edge tools and technologies to improve system performance and efficiency.
● Own and ensure end-to-end data reliability, availability, and scalability.
Key Requirements:
● 5+ years of experience in Data Engineering with a proven track record of building production-grade data systems.
● Deep expertise in Python and SQL (advanced level).
● Strong experience with Big Data tools such as Airflow, Hadoop, Spark, Hive, Presto, etc.
● Hands-on experience with data lake and warehouse architectures (e.g., Delta Lake, Snowflake, BigQuery, Redshift).
● Proven experience with ETL/ELT design, data modeling (star/snowflake schema), and orchestration tools.
● Proficient in working with cloud platforms like AWS, GCP, or Azure.
● Solid understanding of CI/CD pipelines, Git workflows, and containerization (Docker).
● Excellent knowledge of data security, privacy regulations, and governance practices.
● Exposure to streaming data architectures and real-time processing.
Nice to Have:
● Knowledge of data cataloging tools and metadata management.
● Familiarity with BI tools like Tableau, Power BI, or Looker.
● Experience in working within political, social sector, or campaign data environments.
● Prior team lead experience in an agile environment.
Soft Skills:
● Strong problem-solving and decision-making capabilities.
● Excellent communication and stakeholder management skills.
● Ability to work in a fast-paced, mission-driven environment.
● Ownership mindset and ability to manage multiple projects with minimal supervision.
Number of Open Roles: 1
Location: Noida
Experience: 5+ years
About the Company & Role:
We are one of India’s foremost political consulting firms, leveraging the power of data to drive impactful, 360-degree election campaigns. Our unique approach brings together ground intelligence, data engineering, and strategic insight to shape electoral narratives and legislative landscapes.
As a Senior Data Engineer, you will play a key leadership role in building robust, scalable, and high-performance data architectures that power our analytics and campaign strategies. This is an opportunity to drive large-scale data initiatives, mentor junior engineers, and work closely with cross-functional teams to build systems that influence real-world democratic outcomes.
What You'll Do:
● Architect, design, and manage scalable data pipelines for structured and unstructured data.
● Build and maintain data lakes, data warehouses, and ETL frameworks across cloud and on-prem platforms.
● Lead the modernization of our data infrastructure and migrate legacy systems to scalable cloud-native solutions.
● Collaborate with analysts, developers, and campaign strategists to ensure reliable data availability and quality.
● Drive implementation of best practices for data governance, access control, observability, and documentation.
● Guide and mentor junior data engineers and help foster a culture of excellence and innovation.
● Evaluate and implement cutting-edge tools and technologies to improve system performance and efficiency.
● Own and ensure end-to-end data reliability, availability, and scalability.
Key Requirements:
● 5+ years of experience in Data Engineering with a proven track record of building production-grade data systems.
● Deep expertise in Python and SQL (advanced level).
● Strong experience with Big Data tools such as Airflow, Hadoop, Spark, Hive, Presto, etc.
● Hands-on experience with data lake and warehouse architectures (e.g., Delta Lake, Snowflake, BigQuery, Redshift).
● Proven experience with ETL/ELT design, data modeling (star/snowflake schema), and orchestration tools.
● Proficient in working with cloud platforms like AWS, GCP, or Azure.
● Solid understanding of CI/CD pipelines, Git workflows, and containerization (Docker).
● Excellent knowledge of data security, privacy regulations, and governance practices.
● Exposure to streaming data architectures and real-time processing.
Nice to Have:
● Knowledge of data cataloging tools and metadata management.
● Familiarity with BI tools like Tableau, Power BI, or Looker.
● Experience in working within political, social sector, or campaign data environments.
● Prior team lead experience in an agile environment.
Soft Skills:
● Strong problem-solving and decision-making capabilities.
● Excellent communication and stakeholder management skills.
● Ability to work in a fast-paced, mission-driven environment.
● Ownership mindset and ability to manage multiple projects with minimal supervision.
Apply for this position
Application Status
Application Draft
In Progress
Submit Application
Pending
Review Process
Expected within 5-7 days
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