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Specialist - Architecture
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Role description
Mandatory Skills
GCP BigQuery Kafka Dataflow Apache Spark Data Spark Vertex AI Cloud Storage
Adobe Analytics Python Java Nodejs
Experience
Senior Data Engineer Platform ML Analytics 79 years in data engineering or ML data engineering
Data Engineer II ML Training MultiSource Integration 57 years in data or ML data engineering
Job Description
Required Qualifications
79 years of handson data engineering or ML data engineering experience in a production GCP environment
Strong proficiency in Python Java or Nodejs for pipeline development feature engineering scripts and automation
Strong handson experience with BigQuery partitioning clustering cost management complex SQL MLoptimized
table design
Proficiency with Apache Kafka for realtime streaming ingestion
Experience with Dataflow Apache Beam for both streaming and batch pipelines
Proficiency with Apache Spark PySpark or Scala DataSpark experience a strong plus
Solid familiarity with GCP ecosystem Cloud Storage PubSub Dataproc Cloud ComposerAirflow
Experience building ML training pipelines and Feature Stores GCP Feature Store preferred understanding of the ML
lifecycle including feature engineering data versioning and traineval splits
Experience with Vertex AI Pipelines or similar MLOps tooling
Demonstrated experience designing disaster recovery zones and failover strategies for cloud data platforms
crossregion replication RTORPO definition and DR testing
Experience with data archival design BigQuery table lifecycle management Cloud Storage tiered storage policies and
longterm retention for regulated datasets
Handson experience handling PHI under HIPAA fieldlevel encryption and masking deidentification techniques audit
logging access control policies and HIPAA Security Rule compliance for data at rest and in transit
Strong SQL and data modeling skills experience with layered data lake or lakehouse architecture
Nice to Have
Experience integrating Adobe Analytics data streams or Adobe Experience Platform
Familiarity with Looker or Vertex AI as downstream consumers
Knowledge of ClickThru file formats and external table patterns in BigQuery
Experience with GCP CMEK CustomerManaged Encryption Keys for PHI dataset protection
Familiarity with HIPAA BAA requirements in cloud vendor agreements
CVS Digital AI Insight NBA Engine Data Layer Job Descriptions
For Recruitment Use Only Not for Distribution Page 4
Familiarity with NIST or HITRUST frameworks as applied to ML data pipelines
Background in healthcare data Rx clinical or benefits domain
Skills
Mandatory Skills : Apache Spark, GCP Vertex AI, Machine Learning Algorithms, Vertex AI
Other details
Actual compensation within the range will be dependent upon the individual''s skills, experience, performance and internal equity.
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: $ 120,000.00 to 140,000.00 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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