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8+ years experience in software development, Data engineering, and Bachelors degree in computer science, Statistics, Informatics, Information Systems or another quantitative field. Strong python programming skills, expert level on using Python to process Big Data.
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Work with the Database Engineer and Developer to carry out the development of the data warehouse based on the requirements using PostgreSQL, SQL Server Integration Services, SQL Server Management Studio, Snowflake, Python, PySpark, Azure Data Factory and Azure Data Bricks.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Experience in Data Engineering leveraging AWS Redshift, S3, Glue, Airflow, Python, SQL and Kubernetes. Implement data pipelines using tools such as Apache Airflow, AWS Glue, Redshift, S3, Python, and Informatica Cloud.
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Expertise in Python, R, SQL, statistics, data mining. Visualize insights using Microsoft Office, Tableau, Python, R. 12+ years of experience working in the field of Data Engineering and Data Science.
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As a Senior Data Analyst at ReliaQuest, you will be on the front line of building systems and deriving insight that drives RQ and our customers’ businesses forward. Extended experience with tools such as Snowflake, dbt, Microsoft Power BI, Python, SQL Server, Elasticsearch, Kibana, Grafana, etc.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Responsible for acquiring, accessing, validating, querying, and analyzing data from data repositories using available tools (including Alteryx, Python, R, SQL, Power BI, or Microsoft Azure applications.
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State Street Global Advisors is looking for a highly skilled Data Engineer/ Data Analyst with 3+ years’ experience to join our Portfolio Analytics Technology Solutions team. What we value Demonstrated experience in Python, PySpark and SQL (AWS Redshift, Postgres, Oracle.
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Location:Tysons, VA (Hybrid) with some remote work·Work Authorization:EAD, Green Card or ·Work Type:Full Time Responsibilities include, but are not limited to: Gathering and cleaning HR data from various sources, such as HRIS, ATS, surveys, and external benchmarksPerforming descriptive, inferential, and predictive analysis using statistical methods and tools, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
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O Programming Language: Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting. Use programming languages including but not limited to Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting.
$156,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data Engineering & Cloud Services: Utilize a comprehensive tech stack, including Python, Java, SQL Databases, Databricks, Docker, Azure, and AWS, to develop scalable data engineering solutions and manage cloud data analytics tools.
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Knowledge of integrating Python applications with cloud services and data orchestration tools, including AWS and Apache Airflow, to enhance data pipeline efficiency. Demonstrated capability in leveraging Python to design and execute complex data models and ETL processes in Snowflake, ensuring high performance and scalability.
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bachelors python data jobs Title: data analyst product
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