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Lead Data Engineer - AWS
Vika Talent Solutions
- United States
- United States
À propos
conceptual, logical, and physical data models , along with standards for metadata, lineage, retention, and data quality. Design and manage
Golden Records
(e.g., Customer, Leads) within an MDM framework, including survivorship and enrichment rules. Architect and guide
identity resolution strategies
(deterministic and probabilistic matching, deduplication). Design scalable
AWS-based data architectures
using services such as Glue, Lambda, Step Functions, S3, Athena, Redshift, and EMR/Spark. Build and optimize
real-time and event-driven pipelines
using Kinesis, SNS, and SQS. Establish best practices for
performance, cost optimization, reliability, and scalability . Implement and oversee
CI/CD pipelines and Infrastructure as Code (IaC)
using CloudFormation or Terraform. Develop
curated data layers and semantic models
to support self-service analytics and BI tools (Tableau, Power BI). 66 Establish
enterprise data quality frameworks , including validation, profiling, monitoring, and SLAs. Collaborate with cross-functional teams to ensure
data governance, privacy, and security compliance . Translate business requirements into
scalable architecture and technical solutions . Lead troubleshooting and optimization of production data systems; promote
SRE and observability practices . Document architecture standards and mentor engineers on
data architecture best practices . Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or related field (or equivalent experience). Strong experience in
enterprise data architecture , including MDM, CDP, identity resolution, and data quality frameworks. Hands-on expertise with
AWS data services
(Glue, Lambda, Step Functions, S3, Athena, Redshift, EMR/Spark). Advanced
SQL skills
(PostgreSQL preferred). Proficiency in
Python, Spark, or C#
for data engineering. Experience designing and implementing
ETL/ELT pipelines
and distributed data systems. Experience supporting
BI and analytics platforms
such as Tableau or Power BI. Familiarity with
data governance tools
(Glue Data Catalog, Collibra, Alation). Experience with
CI/CD and IaC tools
(CloudFormation, Terraform). xywuqvp Strong collaboration and communication skills across technical and business teams.
Compétences linguistiques
- English
Avis aux utilisateurs
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