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Senior Data Engineer

Delhi, India

Experience
3–6 years
Employment
Full-time
Work mode
Onsite
Salary
₹12 L–25 L / year
Deadline
Apply by 1 Nov 2026
Posted
2025-03-06

Required skills

SkillExperienceLevel
Python3+ yearsNot specified
CI/CD2+ yearsNot specified
Terraform2+ yearsNot specified
Data Modeling2+ yearsNot specified
Kubernetes2+ yearsNot specified
Redshift2+ yearsNot specified
Snowflake2+ yearsNot specified
PostgreSQL2+ yearsNot specified
Cassandra2+ yearsNot specified
Docker2+ yearsNot specified
Apache Airflow2+ yearsNot specified
Schema Design2+ yearsNot specified
Data Warehousing2+ yearsNot specified
Hadoop3+ yearsNot specified
SQL3+ yearsNot specified
Apache-Kafka3+ yearsNot specified
MongoDB2+ yearsNot specified
Apache Spark3+ yearsNot specified
BigQuery2+ yearsNot specified
Spark Streaming2+ yearsNot specified
MySQL2+ yearsNot specified
DevOps2+ yearsNot specified

About the role

About Us

Neuralix.ai is an award-winning AI solutions provider specializing in innovative technologies for diverse industries. Our data lifecycle templates empower industries to achieve rapid ROI by optimizing operations through AI-driven analytics. Our team is made up of AI researchers, engineers, and innovators who are dedicated to solving real-world challenges through next-generation technology.


At Neuralix.ai, we are committed to scalability, efficiency, and innovation, and we are seeking exceptional talent to help us design and build world-class data engineering solutions that shape the future of intelligent systems. About the Role

As a Data Engineer at Neuralix.ai, you will play a crucial role in designing and implementing high- performance, scalable data architectures that power our AI-driven solutions. You will work with cutting-edge technologies, optimize real-time and batch data processing, and collaborate with cross- functional teams to ensure seamless data flow. This role is perfect for those who thrive in a fast-paced, innovative environment and are eager to push the boundaries of data engineering.


What You’ll Do

  • Architect and optimize high-performance data pipelines for structured and unstructured data.
  • Design scalable ETL workflows that fuel our AI/ML models and business intelligence systems. Engineer cloud-native data infrastructure on AWS, GCP, or Azure to handle massive datasets.
  • Build and maintain data lakes, warehouses, and real-time data streaming solutions.
  • Optimize query performance and database architectures for lightning-fast insights.
  • Automate workflows using orchestration tools like Airflow, Luigi, or Prefect.
  • Collaborate with data scientists, analysts, and engineers to unlock the full potential of data.
  • Security & Compliance – Ensure AI solutions comply with industry standards and data privacy regulations.


What Makes You a Great Fit?

  • 3-7 years of hands-on experience in data engineering or a related field.
  • Strong expertise in Python, SQL, and distributed data frameworks (Spark, Hadoop, Kafka).
  • Deep understanding of data modeling, warehousing (Snowflake, Redshift, BigQuery), and schema design.
  • Experience with both relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra).
  • Solid knowledge of real-time and batch data processing (Kafka, Flink, Spark Streaming).
  • Passion for automation, CI/CD, and infrastructure-as-code (Terraform, Docker, Kubernetes).
  • Ability to troubleshoot and optimize complex data workflows.
  • A problem-solving mindset with a love for tackling large-scale data challenges.


Why Join Neuralix.ai?

  • Work at the forefront of AI & infrastructure innovation.
  • Opportunity to work on high-performance AI workloads & cutting-edge hardware.
  • Career growth in a rapidly scaling AI startup.
  • Innovative culture with a focus on problem-solving and next-gen AI solutions.
  • Ready to build and optimize world-class AI infrastructure?


Join Neuralix.ai and shape the future of geospatial intelligence through AI-powered innovation!

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