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The ideal candidate will have expertise in cloud technologies, particularly Google BigQuery, DBT, and Looker along with working experience in onPrem systems such as Teradata, SAP HANA. You will be responsible for crafting, building, and maintaining our data infrastructure and analytics solutions.
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The ideal candidate will have expertise in cloud technologies, particularly Google BigQuery, dbt, and Looker along with working experience in onPrem systems such as Teradata, SAP, OR HANA. Communicates analytical findings, including through reports, briefings, presentations, and data visualization.
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Participates in the implementation of solutions via data architecture, data engineering, or data manipulation on both on-prem platforms like Kubernetes and Teradata as well as Cloud platforms like Databricks.
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Our data engineering tech stack is primarily AWS running Spark/Scala within Databricks. Experience with at least one of the major DBMS products (we use Snowflake but we welcome candidates with experience in Redshift, SQL Server, Teradata.
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Expert in engineering modern warehouse technologies and processes ( Redshift, Snowflake, Netezza, Teradata, BigQuery, Presto, etc. Our data warehouse, based on S3 and Redshift, has petabytes of data and forms the base of many data products we have at TuneIn.
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Determines the appropriate storage platform across different on-prem (minIO and Teradata) and Cloud (AWS S3, Redshift) depending on the privacy, access and sensitivity requirements. Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.
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Knowledge and exposures to Azure SQL Data Warehouse, Databricks or other cloud or on premises MPP data warehousing systems (SAP HANA, Teradata, Snowflake). The experience should be with requirements gathering, SQL, Data Integration tools such as Informatica PowerCenter, Microsoft SSIS, Azure ADF and Data Warehousing techniques.
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Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc. Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, Databricks, etc.
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Knowledge and exposures to Azure SQL DataWarehouse, Databricks or other cloud or on premises MPP data warehousing systems (MS APS, Teradata, Snowflake) Promotes the principles of data resource management and data sharing, reuse of databases and single source data strategy.
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3+ years of hands-on experience using any of the Data warehouses like Snowflake, AWS Redshift, BigQuery, or Teradata. Work closely with other data engineering teams to integrate schema registry and establish data lineage for all data domains.
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Preferred Background:Experience (3-4+ years working experience) with data governance, constructs including technical and business metadata; Understanding of structured and semi-structured data, data quality knowledgeStrong ability to drive connections with a wide variety of data platforms including AWS (Databricks, Teradata, Snowflake, Kafka), Azure, DB2 and SQL Server, etc.
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Familiarity with Teradata, Data stage, Informatica tools (EDC, Axon, IDQ, MDM, power center), Hadoop and mainframe platforms. Experience working in following technologies: Cloud analytics technologies (GCP preferred) - Big Query, Dataflow, Data form, pub/sub, Kafka, Cloud run, cloud functions, Dataplex , GCS, Cloud SQL, Dataproc, Airflow, Compute Engine, Cloud functions and App engine.
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5+ years experience performing data warehouse architecture development and management across one or more data warehouse solutions including BigQuery, Synapse, Teradata, Vertica, or Snowflake.
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Hands-on experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics.
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Utilize programming languages including SQL, COBOL, JCL, DB2, Teradata, SAS, and PySpark. Citibank, N.A. seeks a Data Analytics Lead Analyst for its Irving, Texas location. Design the application's data structure for the access of Business users performing CICS transactions.
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