We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500 experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
REQUIREMENTS:
- Total experience: 5+ years.
- Excellent knowledge and experience in
Bigdata AWS Engineer
role. - Strong working experience with architecture and development in
Spark, Python, AWS Services (S3, Glue, Lambda, Redshift, EMR, Code pipeline etc.), Data Modelling, ETL Concepts, SQL.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and Cloud Data warehouse like AWS Redshift.
- Experience in creating scalable, efficient schema designs to support diverse business needs.
- Experience with database normalization, schema evolution, and maintaining data integrity.
- Proactively share best practices, contributing to team knowledge and improving schema design transitions.
- Develop data models, create dimensions and facts, and establish views and procedures to enable automation programmability.
- Collaborate effectively with cross-functional teams to gather requirements, incorporate feedback, and align analytical work with business objectives.
- Prior Data Modelling, OLAP cube modelling.
- Data compression into PARQUET to improve processing and finetuning SQL programming skills.
- Experience building and optimizing bigdata data pipelines, architectures and data sets.
RESPONSIBILITIES:
- Create and maintain optimal data pipeline architecture ETL/ ELT into structured data.
- Assemble large, complex data sets that meet business requirements and create and maintain multi-dimensional modelling like Star Schema and Snowflake Schema, normalization, de-normalization, joining of datasets.
- Expert level experience in creating a scalable data warehouse including Fact tables, Dimensional tables and ingest datasets into cloud-based tools.
- Identify, design, and implement internal process improvements including automating manual processes, optimizing data delivery and re-designing infrastructure for greater scalability.
- Collaborate with stakeholders to ensure seamless integration of data with internal data marts, enhancing advanced reporting.
- Setup and maintain data ingestion, streaming, scheduling, and job monitoring automation using AWS services. Setup Lambda, code pipeline (CI/CD), Glue, S3, Redshift, Power BI needs to be maintained for uninterrupted automation.
- Build analytics tools that utilize the data pipeline to provide actionable insight into customer acquisition, operational efficiency, and other key business performance metrics.
- Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
- Utilize GitHub for version control, code collaboration, and repository management. Implement best practices for code reviews, branching strategies, and continuous integration.
