Senior Technical Lead
Infinite HR Solutions · Bengaluru · onsite · Posted 49d ago
Undisclosed12–17 yrsfulltimeSourced from
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About this role
Senior PySpark Developer (Cloudera, Iceberg, Airflow & AWS)
Job Description
We are seeking a highly skilled Senior PySpark Developer to support a large-scale cloud transformation initiative focused on building modern data platforms on Cloudera, Apache Iceberg, Airflow, and AWS . The role will be responsible for designing, developing, and optimizing scalable data pipelines that ingest, transform, and process large volumes of enterprise data.
The successful candidate will work closely with data architects, business analysts, cloud engineers, and application teams to build reliable, high-performance data solutions supporting analytics, reporting, and operational workloads. Responsibilities include developing PySpark applications, implementing ETL/ELT processes, designing Iceberg-based data models, orchestrating workflows using Airflow, and leveraging AWS services to support cloud-native data processing.
This requires strong expertise in distributed data processing, performance tuning, data quality, and cloud-based architectures. The candidate will participate in end-to-end solution delivery, from requirements analysis and solution design through development, testing, deployment, and production support. They will also contribute to establishing best practices, reusable frameworks, CI/CD processes, and data governance standards across the platform.
The ideal candidate is a hands-on developer with deep technical expertise in modern data engineering technologies and experience working in large-scale enterprise cloud migration and modernization programs.
Required Qualifications
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Job Description
We are seeking a highly skilled Senior PySpark Developer to support a large-scale cloud transformation initiative focused on building modern data platforms on Cloudera, Apache Iceberg, Airflow, and AWS . The role will be responsible for designing, developing, and optimizing scalable data pipelines that ingest, transform, and process large volumes of enterprise data.
The successful candidate will work closely with data architects, business analysts, cloud engineers, and application teams to build reliable, high-performance data solutions supporting analytics, reporting, and operational workloads. Responsibilities include developing PySpark applications, implementing ETL/ELT processes, designing Iceberg-based data models, orchestrating workflows using Airflow, and leveraging AWS services to support cloud-native data processing.
This requires strong expertise in distributed data processing, performance tuning, data quality, and cloud-based architectures. The candidate will participate in end-to-end solution delivery, from requirements analysis and solution design through development, testing, deployment, and production support. They will also contribute to establishing best practices, reusable frameworks, CI/CD processes, and data governance standards across the platform.
The ideal candidate is a hands-on developer with deep technical expertise in modern data engineering technologies and experience working in large-scale enterprise cloud migration and modernization programs.
Required Qualifications
- Bachelors degree in Computer Science, Information Systems, Engineering, or related field.
- 10+ years of IT experience with 6+ years in Data Engineering and Big Data development.
- Strong hands-on experience with PySpark and Spark-based data processing.
- Experience developing data pipelines on Cloudera Data Platform (CDP) .
- Strong knowledge of Apache Iceberg table architecture and data lake concepts.
- Experience designing and managing workflows using Apache Airflow .
- Experience with SQL and data modeling techniques.
- Strong understanding of ETL/ELT development and data transformation frameworks.
- Experience working with large-scale structured and unstructured datasets.
- Knowledge of Git, CI/CD pipelines, and DevOps practices.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication and collaboration skills.
Preferred Qualifications- Experience with AWS services including S3, Glue, Lambda, ECS/EKS, EMR, RDS, IAM, and CloudWatch .
- Experience building cloud-native data lake and Lakehouse solutions.
- Strong knowledge of data partitioning, performance tuning, and query optimization.
- Experience with Kafka or event-driven data processing frameworks.
- Experience with Java or Python application development.
- Experience implementing data quality, metadata, and data governance solutions.
- Healthcare, Medicaid, Claims Processing, or Insurance industry experience.
- Experience working in Agile development environments.
- AWS Certification and/or Cloudera Certification preferred.
- Experience supporting large-scale cloud migration and modernization initiatives.
Role Level: Senior Developer / Lead Developer
Experience: 10-12+ years overall with strong expertise in PySpark, Cloudera CDP, Apache Iceberg, Airflow, and AWS Data Engineering.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
data qualityPerformance TuningApacheamazon web servicesPythonHealthcarecloudSQLData ProcessingData Modeling
About Infinite HR Solutions
Infinite HR Solutions
HiringGlobal B2B Stablecoin Processor
25
employees
2024
2 years old
Bangalore / Bengaluru, Karnataka
India
₹13.8L PA avg
Avg at Infinite HR Solutions
About
Infinite is a global technology solution provider headquartered in Rockville, Md. The company provides business technology solutions and product engineering services for telecom, hi-tech, healthcare, media entertainment, insurance, banking financial services, retail, public sector, travel and transport, and government. With the proprietary frameworks, platforms, accelerators, and domain experts, Infinite has been solving challenges for Fortune 1000 companies since 2001. Core service offerings include business transformation, digitalization, cloud services, application development management services, quality engineering and assurance, product/platform engineering, and infrastructure services.
Industries
FinanceFinTechPayments
Employee ratings
10 reviews
3.2/ 5
Culture
3.0
Career growth
2.3
Work-life
3.3
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