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