Key Responsibilities:

- Assist in building and maintaining scalable and efficient data pipelines.
- Work on ETL/ELT processes to ingest, transform, and load data from multiple sources.
- Ensure data quality, consistency, and availability for internal teams.
- Learn and contribute to cloud-based data infrastructure (primarily AWS).
- Write clean, modular code in Python and queries in SQL for data processing tasks.
- Use Git for version control and cooperative development.
- Stay curious and continuously learn modern tools, frameworks, and best practices in data engineering.

Requirements

- Strong aptitude, logical reasoning, and problem-solving skills.
- Proficiency in Python programming.
- Good understanding of SQL and relational databases.
- Familiarity with Git and version control concepts.
- Basic understanding of cloud platforms (AWS preferred).
- Self-driven, hardworking, and eager to learn new technologies.
- Strong communication and collaboration skills.

Key Responsibilities:

Key Responsibilities:





- Assist in building and maintaining scalable and efficient data pipelines.
- Work on ETL/ELT processes to ingest, transform, and load data from multiple sources.
- Ensure data quality, consistency, and availability for internal teams.
- Learn and contribute to cloud-based data infrastructure (primarily AWS).
- Write clean, modular code in Python and queries in SQL for data processing tasks.
- Use Git for version control and collaborative development.
- Stay curious and continuously learn modern tools, frameworks, and best practices in data engineering.

Requirements

- Strong aptitude, logical reasoning, and problem-solving skills.
- Proficiency in Python programming.
- Good understanding of SQL and relational databases.
- Familiarity with Git and version control concepts.
- Basic understanding of cloud platforms (AWS preferred).
- Self-driven, hardworking, and eager to learn new technologies.
- Strong communication and collaboration skills.

📌 Data Engineering-I (Mumbai)
🏢 Kissht
📍 Mumbai