Custom Software Engineer Data Engineering
Job Summary
As a Custom Software Engineer a typical day involves creating and implementing advanced technology solutions tailored for new and evolving industries and products. The role requires translating complex system requirements into detailed design specifications ensuring that the solutions align with business needs and technical standards. Collaboration with various stakeholders to refine and optimize designs is a key part of the daily workflow along with continuous evaluation of emerging technologies to enhance product capabilities and performance.
Roles & Responsibilities:
- Expected to be an SME collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the coordination of cross-functional efforts to ensure seamless integration of software components.
- Mentor junior team members to foster skill development and knowledge sharing.
- Drive continuous improvement initiatives to enhance team productivity and software quality.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Good To Have Skills: Experience with Python (Programming Language) AWS Lambda Administration PySpark.
- Strong knowledge of data pipeline architecture and data warehousing solutions.
- Experience in designing scalable and efficient data processing workflows.
- Familiarity with cloud-based data storage and processing platforms.
- Ability to optimize data ingestion and transformation processes for large datasets.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Data Engineering.
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
Roles & Responsibilities:
- Expected to be an SME collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the coordination of cross-functional efforts to ensure seamless integration of software components.
- Mentor junior team members to foster skill development and knowledge sharing.
- Drive continuous improvement initiatives to enhance team productivity and software quality.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Good To Have Skills: Experience with Python (Programming Language) AWS Lambda Administration PySpark.
- Strong knowledge of data pipeline architecture and data warehousing solutions.
- Experience in designing scalable and efficient data processing workflows.
- Familiarity with cloud-based data storage and processing platforms.
- Ability to optimize data ingestion and transformation processes for large datasets.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Data Engineering.
- This position is based at our Hyderabad office.
- A 15 years full time education is required.