Senior Technical Lead
Infinite Computer Solutions (company site, opens in a new tab)10–12 yrsBengaluruOn-siteDirect career pageEst. 22–35 LPA
Posted on 1 Sept
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Infinite Computer Solutions
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Infinite Computer Solutions you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize scalable PySpark data pipelines on Cloudera Data Platform with integration of Apache Iceberg and Airflow for workflow orchestration.
- Implement ETL/ELT processes and build cloud-native data solutions leveraging AWS services such as S3, Glue, Lambda, EMR, and others to support analytics, reporting, and operational workloads.
- Own end-to-end solution delivery including requirements analysis, solution design, development, testing, deployment, production support, and establishing best practices and CI/CD pipelines.
Minimum Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
- 10+ years of IT experience with at least 6 years in Data Engineering and Big Data development.
- Strong hands-on experience with PySpark, Cloudera Data Platform (CDP), Apache Iceberg table architecture, and Apache Airflow workflow orchestration.
- Experience with AWS services relevant to data engineering (e.g., S3, Glue, Lambda, EMR) and familiarity with Git, CI/CD pipelines, and DevOps practices.
Ideal Candidate Profile
- Senior-level professional with extensive experience (10-12+ years) in enterprise-scale cloud migration and modernization programs focused on data engineering.
- Hands-on developer skilled in distributed data processing, performance tuning, data quality management, and cloud-based architectures.
- Experienced in collaborating with cross-functional teams (data architects, cloud engineers, business analysts) to design and deliver high-performance, scalable data platforms using modern technologies like PySpark, Iceberg, Airflow, and AWS.