*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Role Tile: Senior AWS Data Engineer
About the role
Design, build, and operate scalable, cloud‑native data platforms supporting batch and streaming use cases, with strong focus on governance, performance, and reliability.
Responsibilities
- Programming
· Python: Strong hands-on experience with Python for data engineering tasks, including scripting, automation, and ETL logic development
· PySpark: Proficiency in writing and optimizing PySpark jobs for large-scale data transformations
· SQL: Advanced SQL skills for data querying, transformation logic, and stored procedure conversion from SQL Server
- Big Data Processing Frameworks
· Apache Spark: Strong experience with Spark core concepts — RDDs, DataFrames, Datasets, partitioning, and performance tuning
· Data partitioning and optimization: Experience with data skew handling, broadcast joins, caching strategies, and Spark tuning
· AWS Services (Hands-On Experience Required)
- AWS Glue ETL: Developing and deploying Glue jobs (Python Shell and Spark), job bookmarks, dynamic frames, and custom connectors
· AWS Glue Data Catalog: Managing databases, tables, crawlers, classifiers, and schema versioning
· AWS Lake Formation: Configuring data lake permissions, fine-grained access control, and data filtering
· AWS Step Functions: Designing and implementing state machines for ETL workflow orchestration, error handling, and retry logic
· AWS Lambda: Writing serverless functions for event-driven triggers, lightweight transformations, and pipeline utilities
· Amazon Aurora: Working with Aurora PostgreSQL compatible for relational data storage and query optimization
· Amazon DynamoDB: Designing and querying NoSQL tables
· Amazon S3: Proficiency in S3 data lake design — partitioning strategies, storage classes, lifecycle policies, and S3 event notifications
· AWS IAM: Understanding of roles, policies, and least-privilege access patterns relevant to data pipeline security
- ETL Development & Migration
· Informatica PowerCenter (working knowledge): Ability to read and interpret Informatica workflows, sessions, mappings, and transformations to support conversion to AWS Glue
· ETL framework development: Experience building reusable, configurable ETL frameworks with logging, error handling, retry mechanisms, and metadata-driven execution
· Data pipeline design patterns: Familiarity with incremental loads, CDC (Change Data Capture), full loads, and SCD (Slowly Changing Dimensions)
· SQL Server (working knowledge): Ability to understand SQL Server schemas, stored procedures, and SSIS packages for migration analysis
5. Data Engineering Best Practices
· Data quality and validation: Implementing data quality checks, reconciliation logic, and exception handling within pipelines
· Metadata-driven frameworks: Building configurable pipelines driven by metadata stored in Aurora or DynamoDB
· Logging and observability: Integrating CloudWatch logging, custom metrics, and alerting into data pipelines
· Unit and integration testing: Writing test cases for ETL logic using frameworks such as pytest
· Version control: Proficiency with Git for source code management, branching strategies, and code reviews
What you need to have to be considered
· 8+ years in IT related role
· Strong hands on experience in AWS Cloud, SQL and Python
· Good experience with Kafka/Flink, AWS Glue and Airflow
Work model: On Site
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client or Cognizant office in Charlotte, NC.
コグニザントのコミュニティ：
私たちは、互いを尊重し支え合う優秀な人材の集まりです。社員一人ひとりが成長し、力を発揮できるよう、エネルギッシュで協力的かつインクルーシブな職場環境を大切にしています。
- コグニザントは、世界中に30万人以上のアソシエイトを擁するグローバルコミュニティです。
- 私たちは、より良い方法を夢見るだけでなく、それを実現します。
- 人、クライアント、企業、地域社会、そして環境に対して、常に「正しいこと」を行うことで責任を果たします。
- あなたにとって最適なキャリアパスを築くことができる、革新的な環境を提供します。
私たちについて：
コグニザント（NASDAQ: CTSH）は、AI builderおよびテクノロジーサービスプロバイダとして、AI投資を企業価値へとつなげるフルスタックのAIソリューションを提供しています。業界、業務プロセス、エンジニアリングに関する深い専門性を強みに、各企業固有のコンテキストをテクノロジーシステムに組み込み、人の力を最大限に引き出すとともに、具体的な成果の創出と、急速に変化する世界におけるグローバル企業の競争力維持を支援します。詳しくは、当社ウェブサイト www.cognizant.com をご覧ください。
コグニザントは機会均等を重視する雇用主です。応募者および候補者は、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、または連邦、州、地方の法律で保護されているその他の特性に基づいて差別されることはありません。
免責事項：
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現住所または政府発行の身分証明書の提示が必要となる場合があります。