Key Responsibilities

- Design, develop, and maintain scalable ETL pipelines and DataOps workflows
- Build robust processes to integrate internal and external data sources with quality checks
- Automate manual tasks and optimize data ingestion and delivery processes
- Collaborate with cross-functional teams including product, marketing, and business development
- Support technology teams in evaluating and setting up tools for data governance and analytics
- Drive innovation in data infrastructure, quality, and reporting standards

Requirements

Experience & Education

- Minimum 2 years of experience in data engineering
- Open to candidates from any academic background with relevant experience

Technical Expertise





- Proficiency in building scalable data pipelines and warehouses
- Experience with Python, Scala, PySpark, or PL/SQL
- Hands-on experience with cloud platforms (e.g., AWS, S3, Redshift, Glue, etc.)
- Familiarity with distributed systems (e.g., Hadoop, Spark), NoSQL databases, and cloud data warehouses (e.g., Snowflake, BigQuery)

Personal Attributes

- Solid problem-solving and analytical skills
- Entrepreneurial mindset and initiative-driven
- Excellent communication and collaboration skills
- A team player who supports others and contributes positively to team culture

📌 Data Engineer (Mumbai)
🏢 Ketto
📍 Mumbai