Job Title: Data Engineer

Job Description:
• Design and build
scalable data pipelines using PySpark and Python

• Develop and optimize
complex SQL queries for large datasets

• Implement and maintain
ETL/ELT processes ensuring data quality and reliability

• Build and manage
data warehouse solutions
• Work with
Hadoop/Big Data ecosystems for large -scale data processing

• Collaborate with stakeholders to translate
business requirements into data solutions
• Contribute to modern
data/AI workflows including vector embeddings and agentic frameworks

• Work with orchestration tools like
Airflow (if applicable)

Required Skills:
• Strong hands -on experience in
PySpark and Python
• Advanced proficiency in
SQL




• Solid understanding of
Data Engineering concepts
• Experience in
ETL processes and data warehousing
• Familiarity with
Hadoop and Big Data technologies
• Positive communication and business understanding

Good to Have:
• Experience with
Apache Airflow
• Exposure to
modern data platforms / MCP servers
• Understanding of
agentic frameworks (LLM workflows)
• Experience with
vector embeddings and semantic search
• Exposure to
cloud platforms (AWS, GCP, Azure)

📌 Data Engineer (Bengaluru)
🏢 Indium
📍 Bengaluru