Job Description

Job Title: Associate - Data Engineer

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Job Type: Full time

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Experience Level: 1 - 4 Years

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Location: Airoli - Navi Mumbai

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About the Role:

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We are looking for an enthusiastic and detail-oriented Associate Data Engineer to join our growing data team. If you are a recent graduate passionate about data and eager to build a career in data engineering, this is the perfect opportunity for you!

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In this role, you will work closely with senior engineers to build, maintain, and optimize data pipelines. You will get hands-on experience with modern data infrastructure, transitioning your basic academic or project-level knowledge into production-grade skills.

We focus heavily on mentorship, ensuring you have the support you need to grow as a professional.

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Key Responsibilities:

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- Pipeline Development: Assist in writing and maintaining ETL (Extract, Transform, Load) scripts to move data across various systems.

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- Database Management: Write basic SQL queries, create tables, and interact with PostgreSQL databases to support data storage and retrieval.

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- Data Orchestration: Help schedule, monitor, and troubleshoot automated data workflows using Apache Airflow.

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- Stream Processing: Collaborate with the team to build and monitor real-time or near-real-time data streaming applications using Apache Flink.

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- Coding & Debugging: Write clean, readable, and well-documented code in Python.

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- Continuous Learning: Actively participate in code reviews,



learn best practices from senior team members, and stay updated on the latest data engineering trends.

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Must-Have Qualifications:

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- Education: Bachelor's or Master's degree in Computer Science, IT, Data Science, Mathematics, or a related field (Recent graduates from batch [Year] are welcome).

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- Python: Solid foundational knowledge of Python programming (data structures, loops, functions, basic libraries like Pandas).

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- PostgreSQL (SQL): Basic understanding of relational databases, table design, and the ability to write standard SQL queries (SELECT, JOINs, GROUP BY).

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- Apache Airflow: Theoretical understanding or project-level exposure to how Airflow works (DAGs, tasks, scheduling).

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- Apache Flink: Basic conceptual knowledge of distributed data processing or stream processing using Flink.

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- Soft Skills: Strong analytical thinking, problem-solving skills, and a genuine eagerness to learn and adapt to new technologies.

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Good-to-Have (Bonus Points):

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- Spatial Data: Knowledge of the PostGIS extension for PostgreSQL and a basic understanding of how to write geo/spatial queries.

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- Version Control: Basic understanding of tools like Git/Git Hub.

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- Cloud Basics: Familiarity with cloud platforms (AWS, GCP, or Azure).

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- OS: Comfortable with basic Linux/Unix command-line operations.

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- Portfolio: Any personal or academic projects showcasing data pipelines or data processing.

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📌 Data Engineer (Mumbai)
🏢 Black Box
📍 Mumbai