Data Engineer
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Create and maintain optimal data pipeline architecture
Design and develop Data Warehouse solutions
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide
variety of data sources using cloud-based technologies.
Migrate on-prem processes from backoffice systems to the Cloud (Azure or Salesforce).
Configure analytics tools that utilize the data pipeline to provide actionable insights into quality,
operational efficiency and other key metrics.
Work with stakeholders including the Product, Data, Finance, and Software
Engineering teams to assist
with data-related technical issues and support their data needs.
Keep data separated and secure Implement data tools for analytics, data scientist, and AI team members that assist them in building and optimizing current and new products.
Work with data and analytics experts to strive for greater functionality in our data systems.
Incorporated in 2014, Intuitive Apps Inc. has been deeply rooted in a legacy of transforming the industry and the way people experience technology consulting, and we’re committed to deliver a seamless, personalized experience to save costs, bring efficiencies, and making them robust.
Job ID: 104756839
Skills:
BigQuery, Hadoop, Pyspark, Data Warehousing, Bash, Sparksql, Dataproc, Sql, Cloud Storage, Hive, Gcp, Iam, DataFlow, Python, Airflow, DataFrame, Pub Sub
Skills:
Data Modeling, Sql, Spark, Data Integration, Python, data pipeline development, OneLake, schema management, data quality frameworks, Reconciliation, incremental processing, Pipelines, Notebooks, partitioning, performance optimization, Lakehouse architecture, Microsoft Fabric, Azure data services, Validation
Skills:
data engineering , snowflake , Cassandra, Postgres, Python, Azure DevOps, AWS, Hadoop, Scala, Big Data, Dataproc, Redshift, Sql, Git, Hive, Gcp, Spark, Data Warehousing, MongoDB, DataFlow, Azure, Aws S3, Airflow, DataMart Design, Google BigQuery, Data Lakes, GCS
Skills:
Docker, Machine Learning, Data Modeling, Python, Kubernetes, Generative AI, Cloud data platforms, Infrastructure as code, ETL ELT pipelines, Data science tooling, Workflow orchestration
Skills:
snowflake , BigQuery, cloud automation, Data Warehousing, Dimensional Modeling, Sql, Jenkins, Gcp, Docker, Terraform, Databricks, Kubernetes, Python, AWS, Airflow, Infrastructure as Code, DevOps practices, AI-enabled analytics platforms, data orchestration tools, GitHub Actions, Generative AI tools, CI CD pipelines
