Top Data & Analytics Jobs

Develop and support Informatica ETL solutions (70% development, 30% support). Build error-handling frameworks with Autosys/Control-M/Tidal, configure PowerCenter Grid, work with IDQ, MDM and Informatica Cloud. Perform development, performance tuning, Unix scripting, Teradata/SQL work, and data cleansing, standardization and profiling.

Develop and maintain Logi Analytics reporting solutions: create Logi objects/attributes, build data views, integrate with SQL Server and Oracle, debug/troubleshoot, and collaborate with analysts and business users to enable ad-hoc reporting.

Build and operate production data infrastructure: ingest, transform, and route large-scale streaming and batch data from heterogeneous enterprise sources; design ontology/semantic models and tuple/graph representations; ensure isolation, data quality, observability, and low-latency delivery for ML and product teams.

Produce monthly department and IT financial reports using Clarity-sourced data; develop and maintain dashboards and web-catalog reports; perform ad-hoc analysis, CapEx reporting and compliance; manage data points, user roles, and reporting infrastructure; support IT/Finance with reporting, administration, and documentation.

Design, develop, and implement analytics and reporting solutions. Collaborate with a small cross-functional team to identify opportunities, build and maintain SQL Server-based reports and ETL, debug stored procedures and complex queries, document technical designs, create process flow diagrams, and support automation testing infrastructure.

Design and implement enterprise data architectures, define data governance and modeling standards, collaborate with stakeholders, document data structures, evaluate data management technologies, and support data integration for analytics and business needs.

Design, build, and maintain ETL pipelines and big-data workflows from ingestion to consumption. Troubleshoot data/system issues, work in an agile team, handle structured/unstructured data and security logs, and support government data acquisition and sharing while meeting quality assurance and testing standards.

Design, build and scale a 500+ TB Audience Management Big Data platform. Own data ingestion, validation, transformation and storage pipelines. Write server-side Spark/Scala code, perform R&D on new technologies, mentor engineers, and partner with product managers to meet roadmap and business needs.

Perform high-volume data entry and document classification for investment funds, file and process emails using a filing system, analyze vendor feeds, manually price instruments, establish fund mappings, validate data quality, and support ad-hoc data requests and lookup inquiries.

Contract Big Data Architect to design and stand up a Hortonworks/Hadoop stack on Azure (HDInsight/HDP). Ingest XML files via a Hadoop listener into HDFS, process with Spark or MapReduce into Hive/HBase, and expose data for Informatica-based ETL into an on-prem data warehouse.