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Preferred skillsets include statistical and analytical capabilities with experience in SQL, Python, R, Hadoop, Oracle, Spark, Pyspark and Teradata. As a Business Analytics Consultant within PNC's Enterprise Fraud organization, you will be based specifically in PITTSBURGH - PA or BIRMINGHAM - ALThe fraud analyst will support the fraud mitigation plan for the card domain (Credit and Debit) Their focus is to balance fraud loss with customer experience and business growth.
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Qualifications: Bachelor’s Degree Intermediate to Advanced skills in data analysis and data governance tools (, SQL, SAS, TOAD, Python, Hadoop, Teradata, Snowflake, Tableau, Collibra, Infosphere, Alation, etc.
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Must have 3 years of experience in at least 1 of the following:Distributed Processing (Spark, Hadoop, or EMR);Traditional RDBMS (MS SQL Server, Oracle, MySQL, or PostgreSQL);MPP (AWS Redshift, or Teradata);NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, or Titan);Cloud Platforms (AWS, Azure, Google Platform, or Databricks);Data Governance, Lineage and Quality (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID.
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The candidate will connect to existing SQL Server, Oracle, Teradata, and Hadoop databases to query reporting data for key business stakeholders. Responsibilities:The Analytics and Model Development team relies on a variety of systems / platforms including, but not limited to, Excel, SQL, Tableau, Alteryx, PowerBI, and SAS. The candidate will work across both Analytics and Data Management spectrums to source resource planning and call performance data / metrics and compile into Executive level dashboards on a project or ad hoc basis.
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Key responsibilities include utilizing a variety of systems such as Excel, SAS, SQL, Tableau, and other relational data bases to provide analytical support on strategies, ensure goals are met, and propose policy and procedural changes within segmentation structures to produce optimal results.
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Ability to write SQL queries and scripts using relational databases like Teradata, Oracle, SQL Server and pulling data from Hadoop/HIVE SQL/EDW data warehouses. Data visualization skills and hands-on experience using Tableau and/or Qlik with SQL skills.
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Big data” platforms including Hadoop (Azure, GCP, or AWS) and Spark, Airflow, Kafka, Hbase, Pig, or NoSQL; Traditional relational data warehouse technologies: Oracle, Teradata, or DB2.
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Handle complex migrations from legacy Teradata warehousing solutions or on-prem Hadoop/Hive to Big Query in GCP. Cloudera Hadoop/Hive Rally Agile Framework. Implement Cloud based solutions based on various GCP services and technologies such as BigQuery, Dataflow, Dataproc, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL, Cloud functions and Cloud scheduler.
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Access to multiple cloud-based and on-prem data environments (e.g., Snowflake, Teradata, and Google Cloud Platform) 1+ years of experience utilizing SQL and/or Python, R, Hadoop. Access to multiple cloud-based and on-prem data environments (e.g., Snowflake, Teradata, and Google Cloud Platform.
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Knowledge of Hadoop or Teradata preferred. Apply locations OH - Strongsville Birmingham - Brock (AL112) Dallas Innovation Center - Luna Rd (TX270) One PNC Plaza (PA370) Phoenix - East Camelback Exec Suite (AZ014) time type Full time posted on Posted Today job requisition id R158437 At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve.
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Strong working knowledge of any one or more of the following databases - Netezza, Teradata, Oracle, SQL Server, DB2 Strong experience Scripting language experience in job scheduling tools like Autosys or Oozie Basic knowledge of relational databases (SQL) to Understand, Execute and Write SQL Queries.
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Required Skills: SQL, R, RShiny, Python, PySpark, Hadoop, Hive, Teradata, Tableau, AWS, Databricks, ETL techniques & frameworks, Linear & Logistic regression, K-means & Hierarchical clustering, K-Nearest Neighbors, Naive Bayes, Decision trees, Natural Language Processing techniques (BERT, LDA, Sentiment Analysis, Text Analytics), GraphFrames, & Neural Network.
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Big Data Architect, Cloudera Big Data Tool stack (Hive, Impala, OoZie), Pyspark, Teradata, Shell Script, Unix programing, Hadoop. Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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3+ years of experience in data analysis and reporting, demonstrating advanced proficiency using SAS EG/SQL query language to access Teradata / SQL Server / Hadoop databases. Experience with Unix commands, Shell scripting and Teradata BTEQ scripting.
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Database experience with SQL Server, Oracle, Hadoop, Teradata, etc. Benefits: Innova Solutions offers benefits( based on eligibility) that include the following: Medical & pharmacy coverage, Dental/vision insurance, 401(k), Health saving account (HSA) and Flexible spending account (FSA), Life Insurance, Pet Insurance, Short term and Long term Disability, Accident & Critical illness coverage, Pre-paid legal & ID theft protection, Sick time, and other types of paid leaves (as required by law), Employee Assistance Program (EAP.
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