Data Engineer - ETL/SQL (2-4 yrs)

Role : Data Engineer-ETL

Exp : 2 to 4 years

Location : Pune

NOTE : Immediate joiners

Job Description :

Skill : Data Engineer

Precilincal data knowledge, SQL, Redshift,ETL development

Overview :

We are seeking a skilled ETL Developer / Data Engineer to join our team and contribute to critical data engineering projects. This role focuses on building and managing data pipelines, ensuring high-quality data flow from various sources, and supporting automation across environments. You will work closely with our data science and analytics teams to deliver end-to-end solutions.

Key Responsibilities :

- Develop and maintain ETL processes to integrate and transform data from various sources.

- Design, implement, and optimize data pipelines using tools like Apache Airflow and Jenkins to automate workflows and ensure efficient scheduling.

- Utilize GitHub Actions for CI/CD pipelines, enabling streamlined code deployment across environments.

- Write and optimize complex SQL queries for data extraction, transformation, and loading.

- Build robust data transformation scripts and ETL workflows in Python.

- Troubleshoot and debug ETL workflows, ensuring high availability, data accuracy, and performance.

- Collaborate with stakeholders to gather requirements and translate them into technical solutions.

- Maintain best practices for data governance, quality, and documentation.

Required Skills :

- ETL Development : Strong experience in ETL tools and techniques for building scalable, efficient data pipelines.

- Jenkins : Proficiency in configuring and managing Jenkins for pipeline automation.

- Apache Airflow : Experience in building and managing DAGs to orchestrate complex workflows.

- GitHub Actions : Hands-on experience in using GitHub Actions to set up CI/CD workflows for ETL pipelines.

- SQL : Advanced knowledge of SQL for data manipulation and ETL operations.

- Python : Strong Python programming skills, particularly in data manipulation and workflow automation.