Python Cloud Lead (AWS)

Digital Biz Solutions; Ernakulam; On-site; INR 8,00,000 - 15,00,000; Full time

Job summary

Join a high-performing product and engineering company as a Data Engineering Lead. In this role, you'll spearhead innovative data solutions, leveraging your expertise in Python and Azure technologies. You'll lead a talented team, ensuring the development of high-quality data pipelines and solutions while collaborating with cross-functional teams. This dynamic environment promotes personal growth and encourages the implementation of best practices in data engineering. If you're passionate about shaping the future of data solutions and thrive in a collaborative culture, this opportunity is perfect for you.

Benefits

Competitive salary

Attractive benefits

Opportunities for personal growth

Dynamic work environment

Collaborative culture

Qualifications

• Minimum 6 years of experience in data engineering with Azure focus.
• Proven expertise in Python for data tasks and leading teams.

Responsibilities

• Lead a team of data engineers and drive large-scale data projects.
• Design and maintain scalable data solutions in AWS and Azure.

Skills

Data Engineering

Python Programming

Problem Solving

Data Modelling

Performance Tuning

Collaboration

Tools

AWS

Azure Data Factory

Azure Databricks

Job description

About the Company:

Dbiz is a high-performing product & engineering company that partners with organizations to help build out digital solutions with the right technology at the right time, whilst being innovative by using technology in different ways.

Key Responsibilities:

1. Technical Leadership: Lead and mentor a team of data engineers. Drive the development and execution of large-scale data engineering projects, ensuring adherence to best practices and high-quality standards.
2. AWS Data Solutions: Design, build, and maintain scalable and robust data solutions in AWS. Implement Azure Data Factory, Azure Databricks, and other Azure data services to meet business requirements.
3. Data Modelling and ETL Processes: Develop and optimize data models and ETL processes. Implement data warehousing solutions and ensure efficient data storage and retrieval.
4. Python Development: Utilize Python for data manipulation, transformation, and analysis. Develop high-quality, maintainable code for various data applications and automation tasks.
5. Data Integration and Pipeline Management: Build and manage data pipelines. Ensure seamless data integration from various sources into Azure, maintaining data integrity and consistency.
6. Performance Tuning: Monitor and optimize the performance of data solutions. Troubleshoot and resolve complex data issues.
7. Collaboration and Communication: Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand needs and deliver effective data solutions.
8. Stay Current: Keep abreast of the latest developments in data engineering, Azure cloud services, and Python programming. Implement best practices and emerging technologies to enhance data capabilities.

Qualifications:

Minimum of 6 years of experience in data engineering, with a focus on Azure cloud services.
Proven expertise in Python programming for data tasks.
Strong experience with Azure data technologies (e.g., Azure Data Factory, Azure Databricks).
Experience in leading technical teams and projects.
Solid understanding of data modelling, ETL processes, and data warehousing principles.
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.

Life at Dbiz:

• Competitive salary and attractive benefits
• Dynamic and innovative work environment
• Opportunities for personal growth and development
• Engaging and collaborative company culture