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As a Cloud Data Engineer you will design, develop and implement modern cloud based data warehouse/ data lakes and influence overall data strategy for the organization.- Translate complex business requirements into scalable technical solutions meeting data warehousing/analytics design standards- Strong understanding of analytics needs and proactive-ness to build solutions to improve the efficiency along with that help implement leading data practices & standards.- Collaborate with multiple multi-functional teams and work on solutions which has larger impact on Apple business- Ability to communicate effectively, both written and verbal, with technical and non- technical multi-functional teams- You will get along with many other internal/external teams to deliver elite products in an exciting rapidly changing environment- Ability to manage partner communication & project risks.- Thrives in a multifaceted environment, maintaining composure and a positive attitude.
Key Qualifications
Education & Experience
Job ID: 107901035
Skills:
snowflake , Gcp, Cassandra, Scala, Kafka, Azure, Sql, Python, AWS, Iceberg, SingleStore
Skills:
BigQuery, Prometheus, Sql, Apache Airflow, Jenkins, Cloud Storage, Gcp, Python, Salesforce, Cloud Build, Looker, CI CD, Cloud Run, Cloud Composer, Oracle ETL, Superset, GitLab CI CD
Skills:
Sql, Hadoop, Aml, Machine Learning, Etl, AWS, Hive, Nosql, Python, Data Privacy, Scala, Elasticsearch, Spark, Graph DB, orchestration tools, Data Bricks, CI CD pipelines, Bigdata technologies
Skills:
snowflake , Java, Informatica, SSIS, Sql, ELT, Nosql, Javascript, Gcp, Perl, MySQL, Spark, Php, Azure, Asp, Python, AWS, Etl, Apache Ni-Fi
Skills:
Sql, Azure Synapse Analytics, Azure Data Factory, Pyspark, Rest Apis, Azure Databricks, Python, Azure, Terraform, Azure Blob Storage, Solidatus, Azure Key Vault, Azure Monitor, Microsoft Entra ID, ADLS, Log Analytics, Purview, Azure Stream Analytics, Fabric, rbac
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