![]() The annual salary for this position is between $ depending on experience and other qualifications of the successful candidate. Architecture and Implementation experience with Spark and Snowflake performance tuning including topics such as cluster sizing.Pipelines development in multi-hop pipeline architecture.Security design and implementation on AWS & Snowflake.Implementation expertise using AWS services – EMR, Redshift, Glue, Kinesis, Lambda, AWS Lake formation and Snowflake.Strong understanding of the Snowflake platform including evolving services like Snowpark.Ability to engage and offer differing points of view to customers architecture using AWS and Snowflake platform.Thought leadership designing self-service data engineering platforms & solutions.Data services and various consumption archetypes including semantic layers, BI tools and AI&ML.Architect and Solution Data Governance capability pillars supporting modern data eco system.Understand imperatives of change data capture with tools & best practices POV.Expert level proficiency in engineering & optimizing with various data engineering ingestion patterns - Batch, Micro Batch, Streaming and API.Large legacy migration ( Hadoop, Terdata like) experience to Cloud Data platforms.Strong understanding of the full CI/CD lifecycle.Deep expertise on End to End Pipeline ( or ETL) development following best practices and including orchestration, Optimization of Data pipelines.Experience working with one or more major cloud vendors.Excellent understanding of distributed computing fundamentals.Develop or Co-develop proofs of concept and prototypes with customer teams.Data architecture patterns– Data Warehouse, Data Lake, Data Mesh, Lake house, Data as a product.Technology pre sales experience – Architecture, Effort sizing, Estimation and Solution defense.1520 years of experience in Data Engineering and 5 Years Data Engineering Experience on cloud data engineering.Technology architecture & implementation experience with deep implementation experience with Data solutions.*Please note, this role is not able to offer visa transfer or sponsorship now or in the future* ![]() Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence. ![]() 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. 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.īy applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Practice - AIA - Artificial Intelligence and AnalyticsĪbout AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world. Headquartered in Teaneck, New Jersey (U.S.). Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses.
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