Data Engineer / Data Architect

Soul Ai; Dadri; Presencial; INR 1.200.000 - 2.500.000; Jornada completa

Descripción de la vacante

Soul Ai is seeking a Data Engineer / Data Architect to design, build, and maintain scalable data infrastructure for client ecosystems. You will enable efficient data flow, storage, transformation, and access, working with data scientists and backend engineers to integrate models.

The role emphasizes strong Python/SQL skills, ETL tooling, and cloud platform experience across AWS/GCP/Azure, with a focus on data warehousing and real-time data capabilities.

Formación

• Proficient in Python, SQL and shell scripting.
• Hands-on experience with ETL tools and orchestration frameworks (Airflow, Luigi, dbt).
• Strong knowledge of relational and NoSQL databases; data modeling and warehousing concepts.
• Experience with big data tech: Spark, Kafka, Hive, Hadoop; cloud platforms (AWS/GCP/Azure).
• Familiar with DevOps/CI/CD tools for data infra and IaC concepts.

Responsabilidades

• Design scalable, robust data pipelines and secure data flows.
• Build ETL/ELT frameworks for structured and unstructured 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.

Conocimientos

Python

SQL

Shell scripting

Data modeling

Data warehousing concepts

DevOps/CI-CD

Educación

Bachelor's or Master's in CS/Data Engineering/IS

Herramientas

Airflow

Luigi

dbt

PostgreSQL

MySQL

MongoDB

Redis

Apache Spark

Kafka

Hive

Hadoop

AWS

GCP

Azure

Redshift

BigQuery

S3

Dataflow

Databricks

Descripción del empleo

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

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