Data Engineer / Data Architect

Soul Ai; Dadri; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Soul Ai is seeking a Data Engineer / Data Architect in India to design, build, and maintain scalable data infrastructure for client ecosystems. You will enable efficient data flow, storage, transformation, and access across teams and products.

The role values deep technical skills, curiosity, and the ability to translate complex requirements into reliable data pipelines. Location options include major Indian cities with potential onsite work.

Qualifications

• Bachelors or Masters in Computer Science, Data Engineering, Information Systems, or a related technical field.
• Experience building data platforms, warehousing, and pipelines for scale.
• Strong programming and SQL skills with emphasis on data quality and governance.

Responsibilities

• Design and implement scalable, robust data pipelines.
• Build ETL/ELT frameworks to collect, clean, and transform data.
• Collaborate with data scientists and engineers to enable data access and model integration.
• Maintain data integrity, schema design, lineage, and quality monitoring.
• Optimize performance and reliability of data workflows in production.
• Design and manage data warehousing and lakehouse architecture.
• Set up infrastructure using IaC when applicable.

Skills

Python

SQL

Shell scripting

Data pipelines

Data modeling

Data warehousing

Cloud platforms

DevOps/CI/CD

Education

Bachelors or Masters in CS/DE/IS

Tools

Airflow

Luigi

dbt

PostgreSQL

MySQL

MongoDB

Redis

Apache Spark

Kafka

Job description

We specialize in delivering high-quality human-curated data and AI-first scaled operations services

Based in San Francisco and Hyderabad, we are a fast-moving team on a mission to build AI for Good, driving innovation and societal impact

Role Overview:

We are seeking a Data Engineer / Data Architect who will be responsible for designing, building, and maintaining scalable data infrastructure and systems for a client

Youll play a key role in enabling efficient data flow, storage, transformation, and access across our organization or client ecosystems

Whether youre just beginning or already an expert, we value strong technical skills, curiosity, and the ability to translate complex requirements into reliable data pipelines

Responsibilities:

• Design and implement scalable, robust, and secure data pipelines
• Build ETL/ELT frameworks to collect, clean, and transform structured and unstructured data
• Collaborate with data scientists, analysts, and backend engineers to enable seamless data access and model integration
• Maintain data integrity, schema design, lineage, and quality monitoring
• Optimize performance and ensure reliability of data workflows in production environments
• Design and manage data warehousing and lakehouse architecture
• Set up and manage infrastructure using IaC (Infrastructure as Code) when applicable

Required Skills:

• Strong programming skills in Python, SQL, and Shell scripting
• Hands-on experience with ETL tools and orchestration frameworks (e g, Airflow, Luigi, dbt)
• Proficiency in relational databases (e g , PostgreSQL, MySQL) and NoSQL databases (e g, MongoDB, Redis)
• Experience with big data technologies: Apache Spark, Kafka, Hive, Hadoop, etc
• Deep understanding of data modeling, schema design, and data warehousing concepts
• Proficient with cloud platforms (AWS/GCP/Azure) and services like Redshift, BigQuery, S3, Dataflow, or Databricks
• Knowledge of DevOps and CI/CD tools relevant to data infrastructure

Nice to Have:

• Experience working in real-time streaming environments
• Familiarity with containerization and Kubernetes
• Exposure to MLOps and collaboration with ML teams
• Experience with security protocols, data governance, and compliance frameworks

Educational Qualifications:

Bachelors or Masters in Computer Science, Data Engineering, Information Systems, or a related technical field

Location - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India