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5+ years of data / analytics engineering experience building, working & maintaining data pipelines & ETL processes on big data environments. Design & build ELT based data models using SQL.
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Coding ability and intimacy with the data science toolkit in an applied context (R, Python, Pandas, NumPy, SQL). Experience with cloud and big data technologies to extract and analyze data (Snowflake, S3, Redshift, Athena, Hive, BigQuery, Spark, etc.
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Die pmOne Group ist ein kreatives Beratungsunternehmen im Bereich Corporate Performance Management (CPM), Environmental, Social, Governance (ESG-Reporting) und Data & AI. Schon seit über16 Jahren führen wir unsere namenhaften Kunden in der DACH-Region mit innovativen, ganzheitlichen Lösungen zum Erfolg.
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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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Documentation of requirements, knowledge management artifacts for data assets. They enjoy collaborating with cross-functional teams including customer success, product, user experience and design, and engineering to understand customer needs, wrangle data, solve problems, and create data products.
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Conocimiento de herramientas de ETL y automatización (PowerCenter, Airflow, Control-M, Conocimiento de clústeres y herramientas de Big Data (spark, hadoop, s3, lake formation. Conocimientos de DBA (SQL, Oracle, Snowflake, DynamoDB.
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Write efficient SQL queries to transform and clean data for optimal consumption in Snowflake. Strong knowledge of SQL and experience with data transformation techniques. Design, develop, and maintain data pipelines using Fivetran, Python, dbt/coalesce and Airflow from varied sources.
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Developing complex SQL queries, conducting data analysis on new and existing data sources and providing recommendations to improve data quality and related efficiencies. Prior experience with data visualization software (Sisense, Tableau, Qlik Sense, Looker etc.
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We're looking for a talented Senior Software Engineer to join the Identity Data team. Design, Build, and Maintain Near-real-time Event Ingress Pipelines : Take the lead in architecting, developing, and ensuring the ongoing operation of sophisticated event ingress pipelines that handle vast amounts of data in near-real time.
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Write complex SQL queries to extract, transform, and manipulate data from diverse sources. Some SQL skills and understanding of ETL techniques. Experience with Business Intelligence tools such as Tableau, Qlik, SQL, BigQuery, GCP, Snowflake, etc.
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Utilize data visualization techniques to explain data and models to clients and internal teams (Power BI, Tableau, Looker, etc. Experience leveraging digital analytics (Google/Adobe Analytics) and measurement solutions data in the digital advertising industry with client vertical experience including: retail, financial services/retail banking, insurance, telecommunications, automotive or CPG.
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Lead the design and build of enterprise ready data integration patterns while demonstrating a deep understanding of data lake and ETL / ELT architecture, including data management techniques.
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Familiarity with ETL\ELT processes and common data transformation techniques (e.g. normalization and denormalization, string parsing, primary key generation) Build and maintain scalable scheduled jobs to extract, load and transform data, in addition to troubleshooting and fixing problems with existing processes using a modern tech stack that includes Airflow, Snowflake, and AWS.
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Proficient in ETL processes, knowledge of dbt, kimble modelling, SQL-mech. Comprehensive knowledge of cloud data platforms like Google BigQuery, Snowflake, or AWS. Minimum of 3 years of experience in a technical leadership role within a SaaS environment, with a proven track record in data engineering and analytics.
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Write code to perform the ETL including data cleaning and enhancement. Knowledge of SQL queries, Data modeling and query performance tuning, data analysis and integration.
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