80 applicants

Company

Original Job Post

Infosys · 2 days ago

BI Technical Data Analyst

Sunnyvale, CA

Full-time

Onsite

Senior Level

7+ years exp

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Responsibilities

Craft and build a comprehensive data architecture to enable seamless data integration and deliver high-quality insights to leadership and business stakeholders.

Collaborate with talented individuals to create and implement innovative solutions, and lead sales and pursuits focused on clients' business needs.

Participate in a learning culture that encourages teamwork, collaboration, rewards excellence, and values diversity.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

HadoopSparkPySparkHadoop EcosystemsData EngineeringData ArchitectureData ModelingData WarehousingETL ConceptsSQLData Analytics PlatformScalaPythonDesign PatternsRDBMSDistributed StorageTiered Data ArchitectureData OrchestrationAirflowData TransformationData GovernanceData ValidationUser DocumentationProblem-SolvingAnalytical SkillsInterpersonal SkillsCollaborationTime Management

Required

Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

Candidate must be located within commuting distance of Sunnyvale, CA or be willing to relocate to the area. This position may require travel within the US and Canada.

U.S. citizens and those authorized to work in the U.S. are encouraged to apply.

At least 7 years of experience in Information Technology.

At least 3 years of hands-on experience with Hadoop distributed frameworks while handling a large amount of data using Spark or pySpark and Hadoop Ecosystems.

Proven experience in data engineering, data architecture, or a related field

At least 2 years of experience with Spark or PySpark is required.

Strong understanding of data modeling, data warehousing, and ETL concepts

Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop or Spark

At least 2 years of experience with Scala or Python is required.

Preferred

Experience in understanding of Design Patterns, ability to discuss tradeoffs between RDBMS vs Distributed Storage

Experience in designing and implementing a tiered data architecture that integrates analytics data from multiple sources in an efficient and effective manner.

Experience with data orchestration tools like Airflow is a nice to have.

Excellent problem-solving and analytical skills, and the ability to work well under tight deadlines.

Excellent interpersonal skills and the ability to collaborate effectively with cross-functional teams.

Experience in developing data models and mapping rules to transform raw data into actionable insights and reports.

Experience in collaborating with the analytics and business teams to understand their requirements, with cross-functional teams to define and implement data governance policies and standards.

Experience in developing data validation and reconciliation processes to ensure data quality and accuracy is met.

Experience with the development and maintenance of user documentation, including data models, mapping rules, and data dictionaries.