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Experience in data mining, modeling, and analyzing analytic findings using SAS/R/Python. Experience in Financial Services with consumer credit data utilizing SAS/R/Python.
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Understanding of Python, SQL, R, Scala. Define strategies and parameters for predictive models and data mining projects, ensuring data integrity and usability. Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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Lead the architecture and design of data pipelines, data models, and ETL processes within Snowflake, Databricks and DBT Labs. Oversee the end-to-end implementation of Snowflake data solutions, ensuring best practices and adherence to standards.
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Must have six (6) years of experience with: Hands-on software development, data engineering, and systems architecture; Data Lake Infrastructure, Data Warehousing, and Data Analytics tools; Developing Enterprise Data Models; Data modeling, data warehousing, and building high-volume ETL/ELT pipelines; Building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
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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 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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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. 4+ years of data warehousing experience (Redshift or Snowflake.
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Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.
$200,875 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Coordinate field survey activities, including data collection, geospatial data processing, and quality assurance/control procedures. Utilize advanced geospatial software to analyze survey data and derive meaningful insights, and interpret survey data to create accurate maps, models, and reports for client deliverables.
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Quantitative researchers: Experience manipulating and analyzing structured and unstructured data using tools such as R, SPSS, SAS, Python, or Qualtrics. Currently enrolled in a MS or PhD degree in a research-related field like Psychology, Statistics, Data Science, Consumer Behavior, Marketing Research, Anthropology, Design Thinking, Economics, or Marketing.
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Required background/ Skillsets: Prior working experience in Data bricks Snowflake Python Data science background Proficiency in Python for software development and scripting.
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Strong knowledge of data analysis tools including skills to develop analysis queries and procedures in SQL, SAS, or other business intelligence and analysis software applications for data segmentation, aggregation, and statistics (E.g., SPSS, Python, R or Visual Basic.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
$138,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Signal Intelligence (SIGINT), Digital Signal Processing (DSP) or DSP related software. What You Will Do: Design, develop, test, deliver, and maintain software for (DSP) Digital Signal Processing applications.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Experience in large scale cloud data migrations using Databricks, Python, Spark, SQL. Infosys is seeking an Azure and Databricks Data Engineer. Atleast 2 years of experience in end-to-end implementation of projects in Azure, Databricks, Python, PySpark, SQL.
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