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

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