Data science engineer

Job Summary:We're looking for an intellectually curious, business/tech-savvy, analytical powerhouse to join The Walt Disney Company's DTCI group as a Data Analyst in Data Platform and Analytics team.In this role, you will be responsible for driving improvements across a portfolio of offerings by using data.Working collaboratively with cross-functional teams, you will develop, drive, and oversee new strategies to ensure the growth of the business and the overall bottom line.As a Data Analyst, you will identify, analyze, and interpret trends or patterns in complex data sets.Responsible for developing and implementing data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality.Build a strategy for acquiring data from primary or secondary data sources and unify data across different applications.The successful candidate will turn data into information, information into insight, and insight into business decisions.Basic Qualifications:Bachelor's degree in Computer Science, Computer Engineering, Business Administration, Mathematics, or a related field.5+ years of industry experience as an Analyst or related specialty.3+ years Programming experience manipulating and analyzing data (Python or Scala).Experience building robust and scalable data integration (ETL) pipelines using Airflow, SQL, Python, and Spark.Experience in data modeling, ETL development, and Data warehousing.Data Warehousing Experience with Oracle, Redshift, Teradata, Snowflake, etc.Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.Adept at queries, report writing, and presenting findings.Defining new data collection and analysis processes.An analytical mind and inclination for problem-solving.Experience building data products incrementally and integrating and managing datasets from multiple sources.Experience with Big Data Technologies (Hadoop, Hive, HBase, Pig, Spark, Apache Druid) such as S3, EC2, and EMR (Spark), etc.Lead the transformation of a petabyte-scale batch-based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark, and other open-source frameworks.

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