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AWS Cloud Data Architect
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Role description
AWS Cloud Data Architect
Client American Honda Motor Co., Inc.
Location Torrance,California 4 days onsite
"Key Responsibilities
Data Architecture Design
1 Architect and implement a scalable data hub solution on AWS using best practices for data ingestion transformation storage and access control
2 Define data models data lineage and data quality standards for the DataHub
3 Select appropriate AWS services S3 Glue Redshift Athena Lambda based on data volume access patterns and performance requirements
4 Come up with a design that accommodates AIML applications in the next phase
Data Ingestion and Integration
1 Design and build data pipelines to extract transform and load data from various sources databases APIs flat files into the DataHub using AWS Glue AWS Batch or custom ETL processes
2 Implement data cleansing and normalization techniques to ensure data quality
3 Manage data ingestion schedules and error handling mechanisms
Data Governance and Access Control
1 Establish data access controls and security policies to protect sensitive data within the DataHub using IAM roles and policies
2 Develop data governance frameworks including data quality checks data lineage tracking and data retention policies
Data Analytics Enablement
1 Create data catalogs and metadata management systems to facilitate data discovery and understanding by business users and data analysts
2 Design and implement data views and dashboards using Power BI to enable data exploration and visualization
3 Create data warehouses and data marts to meet the needs of the business
Monitoring and Optimization
1 Monitor data pipeline performance data quality and system health to identify and resolve issues proactively
2 Optimize data storage and processing costs by leveraging AWS cost optimization features
Data Exchange
1 Develop the required governance security monitoring and guard rails to enable efficient data exchange between internal application and their external vendors partners and SaaS providers
2 Develop intake process SLAs and usage rules for internal and external data set producers and consumers
Required Skills and Experience
AWS Expertise Deep understanding of AWS data services including S3 Glue Redshift Athena Lake Formation Sep Functions CloudWatch and EventBridge
Data Modeling Proficiency in designing dimensional and snowflake data models for data warehousing and data lakes
Data Engineering Skills Experience with ETLELT processes data cleansing data transformation and data quality checks Experience with Informatica IICS and ICDQ is a plus
Programming Languages Proficiency in Python SQL and potentially PySpark for data processing and manipulation
Data Governance Knowledge of data governance best practices including data classification access control and data lineage tracking
Preferred Qualifications
Experience with data lakehouse architectures and the ability to leverage both structured and unstructured data
Familiarity with data visualization tools like Tableau or Power BI
Strong communication and collaboration skills to work with stakeholders across business and technical teams
AWS certifications related to data analytics and architecture"
Skills
Mandatory Skills : AWS Glue, AWS Lambda, AWS S3, Aws Step Functions, Dimensional Data Modeling
Good to Have Skills : Dynamo DB
Other details
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):
Benefits and Perks:
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Benefits
Compensation range: $ 100,000.00 to 155,000.00 per year
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About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world's largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/
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