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Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
$242,830 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud data warehouses like Snowflake, Google BigQuery, Amazon Redshift, and Azure Synapse Analytics for efficient data storage, integration, and analysis. Experience in any of the tools/language/frameworks within the Big Data & cloud ecosystem (Hadoop, MongoDB, Neo4j, Spark, Hive, Hbase, Cassandra, etc.
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Act as a Subject Matter Expert for migrating on-prem applications to cloud-based PaaS focusing on data warehouse and big data solutions: Microsoft Azure HDInsight, Azure Databricks, Azure Synapse and Snowflake.
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Expertise in Google Cloud Data Services: Big Query, Data Proc, PubSub, Cloud Functions, Cloud Storage, Dataflow, Composer. Strong knowledge of large-scale search applications and building high volume data pipelines, preferably using PySpark on GCP and It’s native tools such as BigQuery, Airflow, Composer, DataProc, PUB/SUB, DataFlow and Vertex AI.
$185,400 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with data engineering concepts and tools such as data pipelines, ETL processes, SQL, and big data technologies (e.g., Apache Spark, Hadoop). We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Architect an Azure cloud-native enterprise data solution with emphasis on data integration, data governance, data quality and catering to reporting end use. Facilitates the automation, implementation, and integration of Data Architecture within the solution delivery life cycle.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Serve as a SAP solution architect responsible for the design and implementation of SAP S/4 HANA capabilities supporting the Plan to Inventory (PTI) workstream, production planning and execution, production master data, MES integration, functional integration with sales order management, procurement, and finance & controlling.
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Digital Services : Digital is all about AI, ML, Data analytics, RPA, IoT, Customer experience (UI-UX applications), cloud) (We have been working towards improving business outcomes through an integration of digital solutions.
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The role requires good knowledge of big data technologies, data warehousing, infrastructure, IaC, CI/CD and their integration. Big data technologies/services expertise (Delta Lake, Lakehouse, Medallion, Spark, Python, Kinesis, S3, Glue, EMR, Airflow, Step Functions, Redshift, Athena, Lambda, ML) AWS preferred.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Must have expertise in Azure Platform as a Service (PAAS) model and its integration with Snowflake to load/unload data. Ensure seamless data flow and integration between Snowflake and other enterprise systems.
$169,212.5 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Familiarity with Hadoop, Spark, and other big data frameworks. Experience with data warehousing solutions like Amazon Redshift, Snowflake and Google BigQuery. Strong experience in database management, data migration, data modelling, ETL processes, data visualization tools and data warehousing.
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3+ years of data engineering experience, specifically with Informatica cloud Data Integration (CDI) and cloud Data Quality and other Informatica cloud suite. The Data Engineer will be part of the Data Management team responsible for developing and deploying Engineering and Integration solutions.
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Experience on SAP integration with trading platforms (e.g. FXall, 360T) and market data feeds (e.g. Bloomberg and Reuters) Hands-on expertise with any of the SAP Treasury core components (i.e. Cash management, Transaction manager, In-house cash, Risk analyzers, Liquidity planner, Hedge management and accounting, SWIFT integration, BCM, integration with financial accounting and other applications.
$188,375 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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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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big data integration jobs Title: big data in Highland Park, TX
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