- They are expected to have specialized knowledge in various ETL (Extract, transform, load) tools such as Informatica, Hyperion etc.
- The applicability of this function is internal as it facilitates leveraging data for decision making purposes. Educational Requirements
- University (Degree) Preferred Work Experience
- 5+ Years Required; 7+ Years Preferred Physical Requirements
- Physical Requirements: Sedentary Work Career Level
- Advanced AWS service Proficiency: In-depth knowledge and hands-on experience with a wide range of AWS services, including but not limited to AWS Data Catalog, AWS, Glue, AWS Glue Data Quality, AWS Glue Databrew, AWS Glue Crawler, AWS Athena, AWS Lake Formation, AWS S3, AWS DynamoDB, Lambda, SNS, SQS, EventBridge, RDS, AWS IAM, AWS MWAA. Familiarity with AWS Best practices for security and scalability
- Data Lake Architecture and Management: Expertise in designing, building and managing scalable and secure data lake house on AWS, understanding various data ingestion patterns, cataloguing, storage, and efficient retrieval mechanisms.
- Data Processing and Analytics: Proficiency in PySpark, Dynamic DataFrame, and other big data processing technologies. Experience with AWS Analytics service like AWS Athena, AWS Kinesis, and AWS EMR.
- Data Pipeline Workflow Management: Strong skills in data pipeline workflow orchestration and management using AWS Managed Workflow for Apache Aireflow (MWAA) and Airflow Dags. Ability to design, implement, and optimize complex data pipelines using Dag Factory.
- Containization and Orchestration: Experience with containization technologies like Docker and orchestration tools such as AWS EKS or ECS.
- Data Security and Compliance: Knowledge of data security, encryption, and compliance standards relevant to financial services.
- Database Management: Proficiency in both SQL and NoSQL databases, understanding of database optimization and management in an AWS environment.
- Scripting and Programming: Strong programming skills, particular in Python. Familiarity with other OO languages like Jave or Scala is a plus.
- Data Governance: Experience in establishing data governance and access control and best practices in an AWS environment.
- DevOps and CI/CD: Knowledge of DevOps principles and practices, experience with CI/CD pipeline with CloudBees, and Jenkins.
- Monitoring and Optimization: Experience with AWS monitoring tools like AWS CloudWatch, AWS X-Ray, and AWS CloudTrail. Ability to optimize AWS resource usage for cost and performance Related SkillsCollaboration, Continuous Improvement Mindset, Data-Driven Business Intelligence, Data Engineering/Analytics, Data Visualization, Predictive Modeling, Problem Solving, Programming, Resourcefulness, Statistics, Story Telling
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Associate Director - Pune, India - TIAA
Description
Manager - Data Warehousing - INThe role is responsible for gathering, transforming, and storing data through data acquisition, metadata management, data cleansing, data transformation, data distribution and data recovery/backup planning.
Key Responsibilities and Duties
9PL
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Company Overview
TIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization , with a focus on technology , operations and expanding into the shared services business space.
Working closely with our U.S. colleagues and other partners, our goal is to reduce risk, improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity.
We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status.