Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Data Engineering
Good to have skills : Python (Programming Language), AWS Lambda Administration, PySpark
Minimum
5 year(s) of experience is required
Educational Qualification : 15 years full time education
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 project goals and client needs. This position demands continuous engagement with evolving technologies and collaboration across various teams to deliver innovative and effective software products that meet emerging market demands.
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 efforts to identify and mitigate risks within project deliverables to ensure quality and timeliness.
- Mentor junior team members by providing guidance and support to foster professional growth and skill development.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering SQL
- Experience with Python (Programming Language), AWS Lambda Administration, PySpark Airflow/EMR/Glue
- 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. Experience with designing and managing large-scale data processing systems.
- Strong knowledge of data pipeline architectures and data warehousing solutions.
- Ability to optimize data workflows for performance and scalability.
- Familiarity with cloud-based data services and distributed computing frameworks.
- Skilled in data integration, transformation, and quality assurance techniques.
Additional Information:
- The candidate should have minimum 6+ years of experience in Data Engineering.
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
