Software Engineering - Big Data - New York, NY / Naveen

Title : Software Engineering - Big Data Hadoop

W2 Only

Location: New York, NY

Onsite

Type: Contract to hire

Additional Skills:

Job Family Description:

• Proficient in Big Data application development skills as well as multiple design techniques
• Working proficiency in Big Data development toolset to design, develop, test, deploy, maintain and improve software
• Strong understanding of Agile methodologies with ability to work in at least one of the common frameworks
• Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, application resiliency and security
• Proficiency in one or more general purpose programming languages
• Working proficiency in a portion of software engineering disciplines and demonstrates understanding of overall software skills including business analysis, development, testing, deployment, maintenance and improvement of software

Job responsibilities

• Architect and oversee the design of complex data solutions that meet diverse business needs and customer requirements.
• Guide the evolution of logical and physical data models to support emerging business use cases and technological advancements.
• Build and manage end-to-end cloud-native data pipelines in AWS, leveraging your hands-on expertise with AWS components.
• Build analytical systems from the ground up, providing architectural direction, translating business issues into specific requirements, and identifying appropriate data to support solutions.
• Work across the Service Delivery Lifecycle on engineering major/minor enhancements and ongoing maintenance of existing applications.
• Conduct feasibility studies, capacity planning, and process redesign/re-engineering of complex integration solutions.
• Help others build code to extract raw data, coach the team on techniques to validate its quality, and apply your deep data knowledge to ensure the correct data is ingested across the pipeline.
• Guide the development of data tools used to transform, manage, and access data, and advise the team on writing and validating code to test the storage and availability of data platforms for resilience.
• Oversee the implementation of performance monitoring protocols across data pipelines, coaching the team on building visualizations and aggregations to monitor pipeline health.
• Coach others on implementing solutions and self-healing processes that minimize points of failure across multiple product features.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Extensive experience in managing the full lifecycle of data, from collection and storage to analysis and reporting.
• Proficiency in one or more large-scale data processing distributions such as Java or Python Spark along with knowledge on Data Pipeline (DPL), Data Modeling, Data warehouse, Data Migration and so-on.
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Strong organizational, problem-solving, and critical thinking skills; Strong documentation skills
• Proficiency in Python or Java and proficiency in Spark
• Hands-on experience on AWS services and its components along with good understanding on Kubernetes. AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge.
• Data De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON-L
• AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager