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Demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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Technical Skills: Proficiency in SQL, database platforms (e.g., MySQL, Oracle, SQL Server), data warehousing, ETL processes, data modeling tools, and familiarity with cloud services (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data pipeline tools (Apache Kafka, NiFi.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Strong technical skills in data analysis and science tools including Python, R, and SQL; Experience in big data tools (GCP, BigQuery, Databricks) or geospatial (ArcGIS, QGIS) is a plus.
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Practical hands-on experience with data technologies and Cloud Platforms like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP, and Azure. Extensive professional experience with Big Data systems, data pipelines, and data processing.
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Design, implement, and maintain data pipelines using Snowflake, DBT, and Apache Airflow. Implement data security and access control measures in Snowflake. Write and maintain DBT models for data transformation and business logic implementation.
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Support vendor risk management and DPIA programs to ensure third parties comply with the Firm’s privacy and data protection requirements. This role requires Data Loss Prevention (DLP) program experience, including conducting investigations related to data loss, data exfiltration, or unauthorized access or use of data, or experience using eDiscovery solutions or similar technology.
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Applying knowledge of data analysis by querying big data (Swift payment messages, and KYC data elements) using Python or R (minimum 10 Terabytes); performing data transformation and cleanup for data usage in machine learning models, and migrating data from on premise to cloud environments (AWS RDS.
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Total 10+ years of experience with 3 plus years of experience in data engineering/ETL ecosystems with Palantir Foundry, Python, PySpark and Java. Any knowledge of the Palantir Foundry Platform will be a big plus.
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Experience understanding, using, and employing syndicated data, customer card/POS data, and panel data to guide internal and external wins through sales and share growth (experience with data sources such as Nielsen, IRI, NPD, Numerator, 84.51, dunnhumby, SPINS, Stratum, Spectra/demographics, SPSOneScreen, Symphony Retail AI/EYC) Working knowledge of retail merchandising and in store execution tactics.
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Lead Data Engineer - Power BI Expert, Databricks - REMOTE WORK - 59471. The ideal candidate will have a strong background in data engineering, with specific expertise in Power BI, SQL, Python, and Databricks.
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Visualization Tools: Tableau (preferred), QlikView, Power BI Data Quality: Understanding of data quality best practices and experience in implementing data governance principles. Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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We are looking for an HR Data Analyst on the People Analytics team at iHeartMedia! from on demand to broadcast radio, digital streaming radio and podcasting, which bring data, targeting and attribution to all forms of audio at an unparalleled scale.
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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (e.g. Parquet, Avro, Protocol Buffers.
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big data jobs Company: Ero Locums in Dallas, TX
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