MODULE LEAD - Python

Role overview

MODULE LEAD - Python at Happiest Minds

The ideal candidate will have a strong background in data engineering, with a focus on building and maintaining scalable data pipelines and architectures.

We are seeking a highly skilled Data Engineer with over 8 years of experience to join our dynamic team.

You will work closely with data scientists and analysts to ensure the availability and reliability of data for analysis and reporting.

Responsibilities

• Design, develop, and maintain robust data pipelines to support data ingestion, transformation, and storage.
• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Implement data models and architectures that support business intelligence and analytics initiatives.
• Optimize data processing workflows for performance and scalability.
• Monitor and troubleshoot data pipeline issues, ensuring data quality and integrity.
• Document data engineering processes and maintain best practices for data management.
• Stay updated with industry trends and emerging technologies in data engineering.
• Mandatory Skills: Proficiency in Python for data manipulation and pipeline development.
• Strong experience with SQL and relational databases.
• Hands-on experience with data warehousing solutions and ETL processes.
• Familiarity with big data technologies such as Hadoop, Spark, or similar frameworks.
• Experience with cloud platforms (AWS, Azure, or Google Cloud) for data storage and processing.

Required qualifications

• 8+ years
• Bachelor's degree in Computer Science, Engineering, or a related field. 8+ years of experience in data engineering or related roles.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• If you are passionate about data and have the required skills, we encourage you to apply and join our innovative team!

Preferred qualifications and skills

• Knowledge of data visualization tools (Tableau, Power BI, etc.).
• Experience with NoSQL databases (MongoDB, Cassandra, etc.).
• Understanding of machine learning concepts and frameworks.
• Familiarity with containerization technologies (Docker, Kubernetes).

Employment details

• Location: SMILES 1-Bengaluru-Bengaluru, CUSTOMER-Bengaluru-Bengaluru Years of
• Location: Noida

Additional role details

• Data Engineer