Delivery Lead

Overview

On Site
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

SQL
AWS
PySpark
CI/CD
Generative AI

Job Details

Job Title : Delivery Lead

Location : Jersey City_NJ &Charlotte_NC & Atlanta, GA / Onsite

Duration : 6+ Months

Job Description:

Responsibilities:

  • Oversee and drive the delivery of end-to-end projects focused on analytical applications and ETL projects.
  • Provide technical leadership and mentorship to data engineering teams, guiding them on complex challenges and best practices.
  • Collaborate with business and technical stakeholders to gather requirements, design solutions, and manage project deliverables.
  • Utilize frameworks like Snowflake, Spark, and AWS Glue to design, deploy, and integrate cutting-edge data solutions.
  • Manage cross-functional collaboration with Business Data Analysts (BDAs), ensuring alignment between data engineering and business goals.
  • Take ownership of release planning, change management, and stakeholder engagement to ensure project success.
  • Ensure adherence to Agile practices, facilitating sprint planning, retrospectives, and delivery timelines.


Technical Expertise:

  • Framework and Foundational Services: Expertise in building modular, scalable, and reusable frameworks for data integration, data quality validation, and pipeline orchestration.
  • ETL Projects: Hands-on experience with ETL processes, data migration, and data mart implementation.
  • Data Engineering: Strong background in Snowflake, SQL, DBT, and PySpark, with advanced knowledge of query optimization, CDC (Change Data Capture), and data transformation.
  • Cloud Platforms: Extensive experience with AWS (Glue, EMR, S3, Lambda, Redshift), Azure Data Factory, and cloud-native architectures.
  • Application Development: Expertise in developing event-driven and microservices-based architectures using Java, Python, and modern frameworks.
  • CI/CD & Automation: Proficient in building CI/CD pipelines with tools like Jenkins, GitLab, and Terraform for infrastructure-as-code automation.
  • Big Data & Analytics: Proven experience in managing Big Data platforms and implementing solutions for large-scale data ingestion, storage, and processing.
  • Security & Compliance: Implementation of security best practices, including OWASP guidelines, RBAC, and vulnerability detection/remediation.


Must Have:

  • Proven experience in building scalable data engineering frameworks and foundational services to support enterprise-wide analytics initiatives.
  • Hands-on expertise in Snowflake, Spark, and AWS Glue, with knowledge of event-driven architectures and streaming data solutions.
  • Strong leadership experience in managing teams and delivering complex projects in Agile environments.
  • Proficiency in ETL processes, data migration, and data mart implementation.
  • Excellent communication and stakeholder management skills to collaborate across diverse teams.
  • Experience in the insurance industry is a plus.
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