Data Engineer / Data Architect

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