Key Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and store data from multiple sources.
• Implement data models and schemas that support analytical and reporting needs.
• Optimize data workflows for performance, reliability, and cost efficiency on cloud platforms.
• Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver solutions.
• Monitor data quality, perform root‑cause analysis of issues, and implement preventive measures.
• Automate and schedule recurring data jobs using orchestration tools such as Airflow or Prefect.
• Ensure compliance with data governance, security, and privacy standards.
• Document pipeline architecture, data lineage, and operational procedures.

Required Skills & Experience

• 3–4 years of professional experience as a Data Engineer or equivalent role.
• Proficiency in Python, SQL, and scripting languages for data manipulation.
• Hands‑on experience with big‑data technologies (e.g., Apache Spark, Hadoop, Kafka).
• Familiarity with cloud data services on AWS, GCP, or Azure (e.g., S3, BigQuery, Redshift, Dataflow).
• Experience with workflow orchestration tools such as Apache Airflow, Prefect, or Dagster.
• Strong understanding of relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra).
• Ability to design scalable data models and implement data warehousing solutions.
• Excellent problem‑solving skills and attention to detail.

Preferred Qualifications

• Exposure to containerization (Docker) and orchestration (Kubernetes).
• Knowledge of CI/CD pipelines for data engineering projects.
• Experience with data visualization tools (Looker, Tableau, Power BI).

What We Offer

• Competitive salary and performance‑based bonuses.
• Flexible remote‑first work environment with a collaborative culture.
• Opportunities for continuous learning, certifications, and career growth.
• Comprehensive health, dental, and vision benefits.

Indium is an AI services company that helps enterprises build, scale, and innovate with cutting-edge technology. Backed by the prominent private equity firm EQT, Indium has spent 27 years providing excellence in digital engineering for Fortune 500 firms. With an "AI-first by design" approach, Indium specializes in Agentic AI, Data & Analytics, Application Engineering, and Quality Engineering.