Data Engineer – Remote | Immediate Joiners Only |

Zimetrics; Pune District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A technology solutions firm based in Maharashtra is seeking a skilled Data Engineer to design and maintain data pipelines using Python. The ideal candidate should have strong proficiency in Python and experience with ETL tools. Responsibilities include optimizing workflows, working with structured and unstructured data, and collaborating with Data Analysts and Scientists to enhance data quality. This role is ideal for those looking to thrive in a dynamic environment focused on data integrity and optimal performance.

Qualifications

• Strong proficiency in Python is essential.
• Experience with ETL tools and data pipeline development is required.
• Hands-on experience with multiple SQL dialects is a must.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Python.
• Build and optimize ETL/ELT workflows.
• Collaborate with Data Analysts and Data Scientists.

Skills

Strong proficiency in Python

Experience with ETL tools / data pipeline development

Hands-on experience with SQL (MySQL/PostgreSQL/Oracle/SQL Server)

Experience with AWS / Azure / GCP

Knowledge of Airflow / Luigi / Prefect

Experience with Spark / PySpark

Understanding of Data Warehousing concepts

Familiarity with version control tools like Git

Job description

Responsibilities

• Design, develop, and maintain scalable data pipelines using Python
• Build and optimize ETL/ELT workflows
• Work with structured and unstructured data from multiple sources
• Develop data models and ensure data quality & integrity
• Collaborate with Data Analysts, Data Scientists, and stakeholders
• Optimize database performance and query tuning
• Implement data validation and monitoring mechanisms

Required Skills

• Strong proficiency in Python
• Experience with ETL tools / data pipeline development
• Hands-on experience with SQL (MySQL/PostgreSQL/Oracle/SQL Server)
• Experience with AWS / Azure / GCP - Good to have
• Knowledge of Airflow / Luigi / Prefect
• Experience with Spark / PySpark
• Understanding of Data Warehousing concepts
• Familiarity with version control tools like Git