Sr. Lead Data Engineer (Databricks & Spark)

Lead Data Engineer (Databricks & Spark)Loction: Princeton, NJ (Hybrid)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’ timeHands-on position requiring strong analytical, architecture, development and debugging skills that include 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 10+ 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 platformExperience with streaming frameworks such as KafkaKnowledge of Core Java, Linux, SQL, and any scripting languageExperience 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 technologiesSRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.