Hadoop Architect

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation  more information, please visit

Role:
Hadoop Architect

Technical Skills Primary

Seeking a Senior Specialist with 7 to 11 years of experience in Data Architecture to provide data driven solutions

Job Description Looking for someone who is familiar with the below areas and Design develop and maintain robust data architecture frameworks to support data requirements and translate them into scalable data solutions

HDFS Architecture, Name Node High Availability HA

Capacity Scheduler, Fair Scheduler

Map Reduce Architecture, Shuffle and Sort, Apache Spark Architecture ,Spark DAG Execution Plan,Spark Performance Tuning, Memory Management in Spark, Adaptive Query Execution AQE

ORC Parquet Internals, Impala Architecture, Apache Kafka Architecture, Kafka Performance Tuning , Kafka Security-, Streaming Architectures, CDC Change Data Capture , Apache Airflow Architecture Workflow Orchestration ,Data Lake Architecture ,Lakehouse Architecture, Delta Lake Fundamentals,, Data Modeling for Big Data, ETLELT Framework Design, Data Governance, Data Lineage, Metadata Management, Kerberos Authentication, Apache Ranger

Apache Knox, Encryption Security Best Practices, Cloudera CDP Architecture, AWS EMR, AWS Glue

S3 Architecture Optimization, Databricks Architecture, CICD for Data Pipelines, Monitoring Observability, Logging Frameworks, Cluster Sizing Capacity Planning

Disaster Recovery DR, Backup Recovery Strategies

High Availability Design, Multi Tenancy Design

Data Quality Frameworks, Performance Troubleshooting

Small File Problem, Cost Optimization

Real Time Data Pipeline Design, Batch Processing Architecture

Event Driven Architecture, Lambda Architecture,Endto End Solution Architecture

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits and Perks:

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Paid Paternity and Maternity Leave

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.