Senior Data Engineer
Vacancy expired!
Cognizant is looking for Senior Data Engineer to join our Artificial Intelligence and Analytics practice (AIA) for a remote project. As a trusted advisor, responsible for providing an approach for the overall project. As a domain specialist, you will drive technology discussions and analyze the existing gaps in addressing business needs. You are a thought leader-comfortable challenging the status quo to enhance our current services and technologies. About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies. By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant's AIA practice takes insights that are buried in data, and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence. Responsibilities:
- Develop data driven solutions utilizing current and next generation technologies to meet evolving business needs.
- Ability to quickly identify an opportunity and recommend possible technical solutions.
- Strong desire and capability to automate everything.
- Develop real-time data ingestion and stream-analytic solutions leveraging technologies such as Kafka, Apache Spark, Python, AWS
- Custom Data pipeline development (Cloud and locally hosted)
- Provide support for deployed data applications and analytical models by being a trusted advisor to Data Scientists and other data consumers by identifying data problems and guiding issue resolution with partner Data Engineers and source data providers.
- Provide subject matter expertise in the analysis, preparation of specifications and plans for the development of data processes.
- Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.
- Works with key stakeholders to design complex solutions and lead from inception to production
- Provide system support as part of a support rotation with other team members.
- AWS
- AWS EMR
- Spark
- Python
- Snowflake
- Kafka
- Strong teamwork skills
- Strong analytical and problem-solving skills
Vacancy expired!