Lead Data Engineer Job at MethodHub, Princeton, NJ

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  • MethodHub
  • Princeton, NJ

Job Description

Lead Data Engineer- MicroStrategy (Banking - Fintech Domain)

Princeton, NJ (Hybrid)

Strictly - Contract to Hire 6 Months after that resource will be under clients pay roll

Micro Strategy Engineer: Having experience in creating visualizations on Power BI/ Tableau/ MicroStrategy preferably Micro Strategy

Responsibilities:

  • Demonstrate a strong sense of ownership and responsibility with release goals. This includes understanding requirements, technical specifications, design, architecture, implementation, unit testing, builds/deployments, and code management.
  • Ensure compliance through the adoption of enterprise standards and promotion of best practice / guiding principles aligned with organization standards.
  • Build and maintain the environment for speed, accuracy, consistency and ‘up’ time
  • Hands-on position requiring strong analytical, architecture, development and debugging skills that includes both development and operations.
  • Attaint in-depth Functional knowledge of the domain that we are working on.
  • Understand Incident Management, Change Management and Problem Management, root cause analysis.
  • Ensure data governance principles adopted, data quality checks and data lineage implemented in each hop of the Data.
  • Be in tune with emerging trends cloud technologies & Big Data.
  • Should drive and execute complex technical requirements.
  • Demonstrate excellent verbal and written communication skills.
  • Collaborate with team members across the globe.
  • Interface with cross functional teams and downstream applications as needed.
  • Be a self-starter that is also an excellent team player.
  • Follow agile best practices. Experienced in working with global teams.
  • Regularly evaluate cloud applications, hardware, and software.
  • Work closely with cyber security team to monitor the organization’s cloud policy.
  • Focus on building a team culture that is based on trust. Inspire your team member so that they focus on continuous growth.

What We’re Looking For:

  • Minimum 8+ years of working experience in Technology (application development and production support).
  • 5+ years of experience in development of pipelines that extract, transform, and load data into an information product that helps the organization reach its strategic goals.
  • Minimum 3+ years of experience in developing & supporting ETLs and using Python/Scala in Databricks/Spark platform.
  • Experience with Python, Spark, and Hive and Understanding of data-warehousing and data modeling techniques.
  • Knowledge of industry-wide visualization and analytics tools (ex: Tableau, R)
  • Strong data engineering skills with AWS cloud platform
  • Experience with streaming frameworks such as Kafka
  • Knowledge of Core Java, Linux, SQL, and any scripting language
  • Experience working with any relational Databases preferably Oracle.
  • Experience in continuous delivery through CI/CD pipelines, containers, and orchestration technologies.
  • Experience working in an Agile development environment.
  • Experience working with cross-functional teams, with strong interpersonal and written communication skills.
  • Candidate must have the desire and ability to quickly understand and work within new technologies

Job Tags

Contract work, Work experience placement,

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