Location: Mumbai.

Required Skills
3+ years of hands-on experience as a Data Engineer.
Strong proficiency in Python and PySpark programming for data engineering tasks.
In-depth knowledge of ETL processes and data pipeline architectures.
Experience with Airflow or Step Functions for orchestration and scheduling.
Solid experience working with AWS services.
Proficiency in building and maintaining CI/CD pipelines
Experience with data modelling, database design, and querying.
Robust problem-solving skills, with the ability to troubleshoot and optimize complex data pipelines.

Bonus Skills
Knowledge of cloud platforms (e.g., AWS, GCP).
Experience with containerization and Kubernetes.
Experience in data security, encryption, and compliance best practices.
Strong communication and collaboration skills.

Responsibilities
Design, build, and maintain scalable and productive ETL/ELT pipelines to process large-scale datasets.




Implement and manage workflow automation and orchestration using Apache Airflow or Step Functions.
Build and optimize data infrastructure using AWS services.
Integrate and manage data warehouses.
Design and develop energetic and interactive dashboards using PowerBI, Metabase, and Superset, to present insights.
Develop and maintain CI/CD pipelines for seamless deployment and continuous integration of data solutions.
Monitor and troubleshoot data pipeline issues, ensuring data quality and consistency.
Leverage best practices for data governance, security, and compliance in cloud environments.
Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver reliable data solutions.

Skills:- Data engineering, Apache Airflow, ETL, CI/CD, Amazon Web Services (AWS) and PySpark

Pay: From ₹750,000.00 per year

Work Location: In person

📌 Data Engineer Mumbai
🏢 Devas Infotech
📍 Mumbai