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What you’ll be responsible for:As a member of the Data Engineering - Business ETL team, you own the ETL/ELT pipelines and data warehouse that is used for financial and regulatory reporting.
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Key Technologies include: Java/Spring, Linux/Windows, ElasticSearch, MySQL/PostgreSQL, AWS, Kubernetes, Docker. As a Software Engineer on this team, you must be skilled and self-motivated to develop cutting-edge geospatial analysis, ETL (Extract, Transform, Load), and visualization microservices to support mission-focused systems.
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Experience in SQL and NoSQL, such as MySQL, PostgreSQL, Cassandra, HBase, Redis, DynamoDB, Neo4j, etc. Designing, building and maintaining data ETL/ELT pipelines to source and aggregate the required data for various data analyses and reporting needs, as well as to continually improve the operations, monitoring and performance of the data warehouse.
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As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting. Designing, building and maintaining data ETL/ELT pipelines to source and aggregate the required data for various data analyses and reporting needs.
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Experience with managing Informatica Enterprise Data Catalog (EDC), Axon, Data Privacy Management (DPM), and Data Masking application environmentsExperience with managing MDM and ETL data application environmentsExperience with defining and maintaining data architecture, accuracy, consistency, and securityStrong familiarity with Oracle, MSSQL Server, MySQL, DB2, etc.
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Knowledge andexperience with web front-end development (HTML, CSS, JavaScript, React),back-end development (PHP, Laravel), database design (MS SQL, MySQL, Oracle),web service architecture (Apache, Nginx, Tomcat), and system administration(Linux, Windows.
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Strong hands-on experience in Oracle SQL and PL/SQL (Or other leading RDBMS such as MySQL or SQL Server), data modeling, and design. Working knowledge of ETL/ELT/data pipeline development, using industry-standard tools such as Talend.
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Experience working with multiple database platforms, such as SQL Server, MySQL, Oracle, DB2, Netezza, and IMS DB.Proficient in programming languages, such as SQL, PL/SQL, Java, Python, Cobol, and JCL.Understanding of data governance policies, procedures, and standards, including those for securityUnderstanding of APIs and other integration technologiesExperience with business intelligence and reporting platformsUnderstanding of machine learning and predictive analytics.
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Knowledge of SQL and experience with multiple data architecture paradigms (MySQL, MicrosoftSQL, Vertica, Oracle, kafka, Spark) with proficiency in Python, text processing, and python data analysis packages (eg.
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Key Technologies Used:· Java/Spring · Linux/Windows · ElasticSearch · MySQL/PostGreSQL · AWS · Kubernetes · Docker. · Interface with both relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases(e.g., MongoDB, Elasticsearch) to store, retrieve, and manipulate geospatial data efficiently.
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Significant professional experience in ETL / ELT using cloud-based databases at scale, such as MySQL, Postgres, BigQuery, Redshift, and/or Snowflake. Experience designing, coding, and supporting enterprise-scale ETL / ELT pipelines that balance efficiency and intuitive usage.
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Experience with technologies such as Spark, Airflow, Kafka, MySQL, Cassandra, Delta Lake, and Data Bricks. You have experience working with one or more of Spark, Airflow, Kafka, MySQL, Cassandra, Delta Lake, and Data Bricks.
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Have experience developing backend services that leverage relational databases (MySQL), non-relational datastores, message queuing and/or cloud infrastructure. Experience with the tools we use, like AWS (including Glue and Lambda), Redshift, Data Build Tool (DBT), Snowflake, and Docker - plus experience with tools we don’t use, but should, and the wisdom to know when to recommend them.
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Position Overview: We are seeking a mature data engineer to join our core platform team. Enjoy working in a 100% remote environment - we have engineers across the US, as well as remote teams in Latin America.
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O Developing data pipelines, architecture, and data models using MySQL, MongoDB, DynamoDB (or similar database technologies), and modern data ETL platforms. o Developing iOS and Android mobile applications using either native development environments or multi-target frameworks (React Native, Flutter, Xamarin, Swift, Ionic, MAUI, etc.
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