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Strong knowledge of the Python data science stack, e.g., scikit-learn, pandas, numpy, scipy, matplotlib/seaborn. ASX Listed Fintech are on the lookout for a driven Senior Data Scientist to join a friendly team of Data Scientists and Data Engineers.
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We are a clinician-led, patient-centered, collaborative behavioral health company of mental health professionals committed to improving access to extremely high-quality mental health care! Our objective is to make our services more available to those in need of high-quality mental health care.
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Implemented scalable and sustainable data engineering solutions using tools such as Databricks, Snowflake, Teradata, Apache Spark, and Python. Experienced with data pipeline and workflow management tools: Rundeck, Airflow, etc.
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You will be primarily developing Data Warehouse Solutions in BigQuery/Snowflake using technologies such as dbt, Airflow, Terraform. Our Enterprise Data & Analytics (EDA) is looking for an experienced Senior Data Engineer to join our growing analytics engineering team.
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Jag sökte mig till rollen som Data Engineer för att på ett varierat sätt få möjlighet att arbeta med data. Vi är ett team som jobbar med hantverket data engineering och som har kul ihop även utanför jobbet.
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The ideal candidate will have proven data engineering experience utilizing innovative data technologies and data science techniques. Data is in our DNA – Harnessing the latest technology, delivering thought-leading outcomes in AI, Machine Learning, API development and Cloud Platform delivery.
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Nous espérons que le modeling, le Warehousing, les Databases, les ETL, les ELT et le reverse ETL, SQL/NoSQL, les Data Contracts, le Streaming, le Cloud, le DevOps, l’IA et tout ce qui constitue la galaxie Data vous passionnent autant que nous.
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Designs and implements data governance policies and procedures to ensure data quality, consistency, and compliance with regulatory requirements. Big Data Technologies: Apache Spark, Hadoop, Kafka.
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Data visualization skills (Tableau preferred, especially Tableau Mapping) Analyzes data from multiple sources to develop regular and predictive analytics and operational metrics. Intermediate skills in data visualization and presenting data to diverse audiences.
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They are also advocates for our Airmen and consult with leadership on moral, ethical and quality-of-life issues. Providing pastoral care ministry and counseling to those of faith and those of no faith, Air Force chaplains are religious ministry professionals who support the spiritual resilience of our Airmen all over the world.
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Develop processes and procedures to identify, monitor, and mitigate data risks for data in the product, including risks related to data protection, data retention and destruction, data storage, data use, and data quality.
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Develop efficient Extract, Transform, Load (ETL) processes to ingest data from diverse sources, cleanse and transform it, and load it into target data stores, ensuring data quality and integrity.
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Experience with data quality monitoring, reliability, and lineage will be an asset; Ensure data quality monitoring, reliability, and lineage by developing processes and tools to identify and correct data quality issues.
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2+ years of experience in data engineering and analytics roles, preferably in the gaming industry. Stay current with industry trends, best practices, and emerging technologies in data engineering, analytics, and gaming.
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Experience with data pipeline and workflow management tools: Airflow, AWS Step etc. You are an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
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data quality jobs Title: data quality analyst Company: Citi in Snowflake, AZ
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