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Software Development Engineer - Systems

Austin,Texas,United States

Software and Services

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description

APPLE INC has the following available in Austin, Texas. Design and implement scalable, extensible and highly-available data pipelines on large volume data sets. Use large and complex data sources from Apache Hadoop, Oracle and AWS to help deliver dynamic and intuitive decision tools through visualization of data using SQL and PySpark, and bring data to life via visualizations. Translate business requirements from business team into data and engineering specifications. Build scalable data sets based on engineering specifications from the available raw data. Understand and identify server APIs that need to be instrumented for data reporting and analytics and align the server events for execution in already established data pipelines. Explore and understand complex data sets by processing raw data and distributed files formats like Apache AVRO and Parquet, and transforming data using ETL techniques and Dependency driven job-scheduling. Process, clean and validate the integrity of data used for analysis using Python, Apache Spark or Pig and applying industry-baselines for accuracy, completeness, consistency, timeliness, and validity. Develop Python and Shell scripts for data ingestion from external data sources for business insights. 40 hours/week. Apple is an Equal Employment Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities.

Minimum Qualifications

• Master’s degree or foreign equivalent in Data Analytics, Computer Science, Information Technology or related field and 2 years of experience in the job offered or related occupation. Alternatively, employer will accept a Bachelor’s degree in Data Analytics, Computer Science, Information Technology or related field and 5 years of progressive, post-baccalaureate experience in the job offered or related occupation.

• 2 years of experience with each of the following skills is required:

• Designing and implementing scalable, extensible and highly-available data pipelines on large volume data sets using Apache Pig, Hive and Apache Spark.

• Using large and complex data sources: Apache Hadoop, Oracle and AWS.

• Building scalable data sets based on engineering specifications from the available raw data and distributed files formats like Apache AVRO and Parquet.

• Developing Extract-Transform-Load jobs and Dependency driven job-scheduling.

• Evaluating complex data sets using PySpark and SQL.

• Processing, cleaning and validating the integrity of data used for analysis using Python, Apache Spark or Pig.

• Developing Python and Shell scripts for data ingestion from external data sources for business insights.

• Identifying Data Validation rules and alerts based on data publishing specifications for data integrity and anomaly detection using baselines for accuracy, completeness, consistency, timeliness, and validity.

Key Qualifications

Preferred Qualifications

• N/A

Education & Experience

Additional Requirements

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

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Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .