Client: Large Entertainment and Video Gaming Company

USA Based Candidates Only

Must Haves

· 12+ years of hands-on experience architecting, designing and implementing complex enterprise data architecture.

· Experience with data analysis,data modeling, data warehousing, and building ETL pipelines.

· Experience analyzing data using statistical methods to identify patterns.

· Experience working with large amounts of structured & unstructured data – 100s of gigabytes per day.

· Proven track record working in AWS. AWS services including S3, Elastic Search, Glue, EC2, Kinesis, etc.

· Strong experience with the ELK Stack – Elasticsearch, Logstash, Kibana

· Hands-on Experience architecting and implementing using Splunk or similar technologies.

o Experience working with Snowflake

· Strong Experience in relational database technologies/SQL and non-relational/NoSQL (DynamoDB, Cassandra etc.)

· Experience in working and delivering end-to-end projects independently.

· Knowledge of distributed systems as it pertains to data storage and computing

· Proven success in communicating with other technical teams, stakeholders, end-users and senior management to collect requirements and describe data modeling decisions and data engineering strategy

· Experience providing technical leadership and mentoring other engineers for best practices on data engineering

· Experience conducting large scale data analysis to support business decision making

· Ability to solve complex problems quantitatively and develop clear, data-driven business recommendations

· Experience operationalizing the data platform for ongoing support and maintenance.

· Experience building dashboards and reports to visualize the data patterns.

Good to have

· Data analysis using Jupyter notebooks and strong Python programming skills.

· AI/ML & Data Science

Data Architect