Hello Recruiters,
Please find the below JD's and share me the matching resumes
Sr. Lead Data Engineer (Databricks & Spark)
Princeton, NJ (Hybrid)
Responsibilities:
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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 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:
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Minimum 8+ years of working experience in Technology (application development and production support).
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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.
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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)
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Strong data engineering skills with AWS cloud platform
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Experience with streaming frameworks such as Kafka
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Knowledge of Core Java, Linux, SQL, and any scripting language
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Experience working with any relational Databases preferably Oracle.
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Experience in continuous delivery through CI/CD pipelines, containers, and orchestration technologies.
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Experience working in an Agile development environment.
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Experience working with cross-functional teams, with strong interpersonal and written communication skills.
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Candidate must have the desire and ability to quickly understand and work within new technologies
Lead QA Automation
Princeton, NJ (Hybrid)
Key Roles & Responsibilities:
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Design and develop automation/performance solutions that meet organization standards and build reliable, reusable, and maintainable automated regression suites & test harnesses
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Create tools and frameworks with quality code to simplify testing scenarios.
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Design and develop test plans, test cases based upon functional and design specifications, execute test cases and analyze and report test results to the teams
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Work in partnership with the development teams to deliver business functionality on time with the required quality that meets the acceptance criteria
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Acts as a test lead, works well as Individual contributor and lead team by example.
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Uses strong testing skills to provide guidance and assist project staff
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Reviews and approves the work of project team members in the writing of scripts, expected results, test results and defect descriptions. Ensures best practices are followed
and testing activities stay on schedule.
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Focus on building efficient solutions for Web, Services/APIs, Database testing requirements.
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Participate in internal/cross team meetings, project scoping, functional reviews, test specifications, technical reviews for assigned projects in an Agile environment
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Involved in requirements review and participate in architecture/design reviews with an emphasis on test automation/performance strategy and ensuring best practices
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Participate actively in functional, system and regression testing activities
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Capture quality assurance data and metrics to provide insights and conclusions
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Estimate and perform risk analysis for quality delivery
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Agile evangelist
Qualifications:
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8+ years of software testing experience in all phases of testing including test planning, test execution and test closure for all layer API, DB and UI.
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Excellent understanding of QA and testing methodologies, best practices
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5+ years of experience as an Automation QA Tester.
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5+ years of experience creating/maintaining and executing
automation tests utilizing tools such as Selenium required (Python essential). Tosca knowledge would be an added advantage.
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5+ Years of experience in Agile processes (Scrum preferred)
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3+ years of experience of working with
REST service and understanding of SOA architecture. Knowledge of OData and SOAP preferred.
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Experience creating/maintaining automation frameworks preferred.
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Experience of DevOps pipeline in containerized environment using Azure DevOps/Jenkins preferred.
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Expertise using complex SQL to query databases required.
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Expertise with DB process, data validation, transformation logics, and data migration.
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Knowledge of file storage in S3, data validation with clob, blob, and messaging system kafka, JMS preferred.
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Ensure data accuracy and integrity by designing and executing test plans for ETL to ELT processes.
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Develop automated testing scripts and monitor performance to optimize ETL/ELT workflows.
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Exposure to distributed source control systems such as Git.
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Experience with test data management techniques.
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Knowledge of Function as a Service, Container as a service, Data Virtualization (Denodo) preferred.
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Experience with change management and defect tracking tools.
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Well versed with Defect Triage process and identification, tracking of corrective actions.
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Zeal to be domain expert and learn new technologies.
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Demonstrated analytical and problem-solving skills.
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Excellent interpersonal skills and written communications.
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High standards of confidentiality; ability to handle sensitive information with integrity and trust.
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Knowledge of cloud technologies like AWS/Azure and experience of testing micro-services, containers, Dockers is preferred
Minimum and Preferred Education:
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Bachelor's or higher qualification in Computer Science, Information Systems or equivalent is preferred
Lead Data Engineer-MicroStrategy
Princeton, NJ (Hybrid)
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