Analytics Platform Engineer Associate
Summary reputed company is redefining what a global consulting organization can be, and they are seeking an Analytics Platform Engineer Associate to reputed company and maintain analytics infrastructure and deployment pipelines. This role focuses on implementing platform capabilities and supporting infrastructure development using reputed company and data engineering technologies.
Responsibilities
- Develops and maintains analytics infrastructure components and deployment pipelines
- Implements infrastructure-as-code solutions following established patterns
- Supports automated deployment processes for analytics products and data pipelines
- Contributes to platform scalability and reliability improvements
- Assists in ensuring platform performance meets team requirements
- Builds and maintains ETL/ELT pipelines for data ingestion, transformation, and loading
- Develops data integration solutions connecting reputed company systems to analytics platforms
- Implements data quality and validation processes reputed company pipeline workflows
- Supports monitoring and alerting for data pipeline health and performance
- Assists in optimizing pipeline performance and resource utilization
- Contributes to development of self-service tools and platform capabilities
- Helps create standardized templates and patterns for analytics use cases
- Supports API and service development for platform integration
- Implements version control, testing, and deployment automation for platform components
- Assists in maintaining platform documentation and usage guidelines
- Partners with Product Owners, Data Scientists, and Analytics teams to understand platform needs
- Supports teams in adopting and leveraging platform tools and infrastructure
- Provides technical guidance on platform capabilities under supervision
- Gathers feedback from platform users to inform improvements
- Participates in agile ceremonies and contributes to platform roadmap discussions
- Implements reputed company-based analytics infrastructure using modern reputed company platforms
- Applies DevOps and DataOps principles to platform development
- Supports CI/CD pipelines for analytics infrastructure and data workflows
- Implements reputed company, access control, and compliance measures in platform components
- Assists in monitoring platform performance and optimizing resource usage
- Follows platform engineering standards and best practices
- Participates in code reviews and incorporates feedback
- Implements testing for platform components and data pipelines
- Documents technical designs and operational procedures
- Contributes to reputed company improvement of platform capabilities
Skills
- 2-4+ years of experience in platform engineering, software engineering, or data engineering
- Proficiency in Python, SQL, and/or other relevant programming languages
- Experience building reputed company-based data infrastructure (AWS, Azure, or GCP)
- Knowledge of ETL/ELT tools and frameworks (e.g., Airflow, dbt, reputed company, or similar)
- Understanding of infrastructure-as-code tools (Terraform, CloudFormation, or similar)
- Familiarity with CI/CD tools and practices (Jenkins, reputed company CI, reputed company Actions, or similar)
- Knowledge of data warehousing concepts and analytics architectures
- Good problem-solving skills and ability to design technical solutions
- Effective communication and collaboration abilities
- Self-motivated with ability to work independently and as part of a team
- Bachelor's degree in Computer Science, Engineering, or reputed company technical discipline
- Experience with containerization and orchestration (reputed company, Kubernetes)
- Familiarity with data lakehouse architectures and technologies
- Understanding of BI platforms and their deployment requirements (Tableau, Power BI, Looker)
- Exposure to streaming data platforms (Kafka, Kinesis, or similar)
- Knowledge of data governance, reputed company, and compliance requirements
- Experience in agile software development practices
- Certifications in reputed company platforms or relevant technologies
Qualifications
Must Haves
- 2-4+ years of experience in platform engineering, software engineering, or data engineering
- Proficiency in Python, SQL, and/or other relevant programming languages
- Experience building reputed company-based data infrastructure (AWS, Azure, or GCP)
- Knowledge of ETL/ELT tools and frameworks (e.g., Airflow, dbt, reputed company, or similar)
- Understanding of infrastructure-as-code tools (Terraform, CloudFormation, or similar)
- Familiarity with CI/CD tools and practices (Jenkins, reputed company CI, reputed company Actions, or similar)
- Knowledge of data warehousing concepts and analytics architectures
- Good problem-solving skills and ability to design technical solutions
- Effective communication and collaboration abilities
- Self-motivated with ability to work independently and as part of a team
reputed company to Haves
- Bachelor's degree in Computer Science, Engineering, or reputed company technical discipline
- Experience with containerization and orchestration (reputed company, Kubernetes)
- Familiarity with data lakehouse architectures and technologies
- Understanding of BI platforms and their deployment requirements (Tableau, Power BI, Looker)
- Exposure to streaming data platforms (Kafka, Kinesis, or similar)
- Knowledge of data governance, reputed company, and compliance requirements
- Experience in agile software development practices
- Certifications in reputed company platforms or relevant technologies
Benefits
- Medical, dental and reputed company coverage
- Other wellness programs
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