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Hands-on experience with Databricks and Snowflake for data engineering and analytics. Implement data pipelines and ETL processes using Databricks and Snowflake. NOTE: THIS POSITION IS TO JOIN AS W2 ONLY. Data Engineer with Databricks Location: Remote Duration: 6+ Months Daily Responsibilities: Design, develop, test, deploy, maintain, and improve software applications and services.
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Senior Data Engineer (Python, Kafka, Databricks, AWS) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Knowledge of Cloud Data stack: AWS EMR, Apache Spark, Databricks, SNS, EC2/ECS, Airflow, ELK/Datadog, RDS/Postgres, AWS Redshift, GCP Big Query & Google Cloud Storage. AWS/Databricks cloud certifications.
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Infosys is seeking an Azure and Databricks Cloud Data Engineer. Experience in large scale cloud data migrations using Databricks, Python, Spark, SQL. Experience in end-to-end implementation of projects in Azure, Databricks, Python, PySpark, SQL.
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Lead the architecture and design of data pipelines, data models, and ETL processes within Snowflake, Databricks, and DBT Labs. The Senior Data Architect with Snowflake experience is a specialized role responsible for designing and implementing data solutions on the Azure cloud platform, particularly leveraging Snowflake and DBT Labs. This role involves collaborating with clients and internal teams to architect, deploy, and optimize data solutions that meet business requirements while ensuring scalability, security, and performance.
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Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
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Infosys is seeking an Azure and Databricks Data Engineer. Strong knowledge of Data structures, Data Engineering concepts, Algorithms, Collections, Multi-threading and memory management and concurrency.
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What You BringStrong data analysis expertise with the proven ability to independently answer complex questions involving combining large data sets using a variety of SQL tools and database technologies (examples: Databricks, RedShift, Athena, BigQuery.
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Sizable experience with AirFlow, Luigi, NiFi, Databricks, Snowflake is a plus. Experience integrating different data sources by utilizing data modeling tools and software (e.g., SQL, Python, SparkSQL, PySpark) and data visualization tools (e.g., Tableau, ThoughtSpot.
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Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools. Scan data, market share or within these companies: Circana, IRI, NPD or Nielsen null. Understanding of metadata management, data lineage, and data glossaries is a plus.
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Deep understanding of AWS solutions suite as well as DataBricks, Mongo, Oracle, DB2, SQLServer, PostgreSQL, etc (Certifications preferred). Experience navigating data, and the systems that host data, within the regulatory environment (SOX, PII, PCI, etc.
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Incorporate core data management competencies including data governance, data security and data quality. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Experience in contract management, Quickbase, and Quicksight/Amazon Q, SQL, Databricks. Join our dynamic team of Global Business Services (GBS) Data/Analytics & Automation and embark on an incredible journey towards digital progress.
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Utilize various cloud technologies and data platforms like Databricks and Snowflake to conceptualize and create an end-to-end vision for data flow. Develop comprehensive strategies and plans for data management, capacity planning, security, scalability, backup, disaster recovery, business continuity, and archiving.
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3+ years of Python/Scala with Azure Databricks. 2+ years of experience working with big data technologies (e.g., Hadoop, Spark, Presto). Job Title : Sr. Data Engineer - Azure & Big Data Specialist.
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databricks job Title: data in Addison, TX
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