• Creating new integrations for various teams and managing the previous ones.
• Setting up an end-to-end ETL pipeline in a Java/Python-based project and dashboarding on Grafana.
• Covering tech debts around framework and architecture.
• Migrating the project from Client/Server architecture to ETL pipeline, for already written integrations.
• Setting up an event streaming platform for the ETL pipeline using Kafka or similar tools.
• Define and provide key metrics/insights for all the teams.
• Own the overall development life cycle of the solution.
• Instill best practices for software development and documentation, ensure designs meet requirements, and deliver high-quality work on tight schedules.
• Translate business requirements into technical solutions, recommend alternative technical and business approaches, and lead engineering efforts to meet aggressive timelines with optimal solutions.
• Design, Develop, Test, and Maintain application components.
• Interact with customers of the application, help to improve the application’s usability, and address issues reported.
• Derive meaningful insights from the data.
• Contribute to the data warehouse design and maintenance.
• Report curation and data modeling.

Skills: Integration Management, ETL Development, Technical Debt Management, Architecture Migration, Event Streaming, Metrics Analysis, Software Lifecycle Management, Customer Interaction.

• Support data operations for reporting, analytics, applications and data science by creating and maintaining scalable, reliable, consistent and repeatable systems.
• Drive data operations processes through the collection and processing of raw data at scale, including writing scripts, web scraping, calling APIs and writing SQL queries.
• Maintain, improve, clean and manipulate data using extract, transform and load (ETL) processes.
• Profile data to measure quality, integrity, accuracy and completeness.
• Improve department processes by implementing tools, scripts, queries and applications for ETL and data operations.
• Deliver solutions by developing, testing and implementing code and scripts.
• Produce reports and uphold data delivery schedules for senior leadership to leverage.
• Maximize the department through the management of multiple data source lifecycles.
• Increase the delivery speed of data by implementing workflow automation solutions.
• Track record of effectively using Spark and Hadoop
• Extract intelligence and analytics from a variety of data sources
• Develop and maintain Perl and Shell ingestion pipelines
• Migrate ETL processes from on-premise to cloud infrastructure
• Troubleshoot ingestion issues.
• Develop complex SQL queries and analyze data, systems integration experience, and understand data warehouse concepts and structures.

Skills: Data Operations, Scripting, ETL Processes, Data Profiling, Solution Development, Reporting, Workflow Automation, Pipeline Maintenance.

• Design of the data model used by FREE NOW for reporting and analytics purposes.
• Develop strategies and processes that ensure the quality and consistency of the data produced by the ETL process.
• Bring a desire to create an understanding of business use cases through the creation of data models.
• A key point of contact for Business and Product Analysts to extend data analysis capacity and KPIs creation by constantly enriching the data model.
• Serve as an expert function assisting analysts in developing ETL jobs and extensions by setting best practices, and developing overall data model structures that others will work within.
• Work closely with Data Platform and Data Application teams to ensure that the end-to-end data processing works smoothly and meets the company’s expanding needs.
• Understand and troubleshoot the existing ETL process.
• Work in a cross-functional project team to implement a data governance system including documenting data lineage and developing monitoring and alerting tools for data quality.
• Involved in the full development cycle of complex data platforms
• Take ownership of solution components
• Design DWH and reporting data models

Skills: Data Modeling, ETL Quality Management, Business Analysis Support, Data Governance, Cross-Functional Teamwork, Troubleshooting, Data Platform Development, Solution Ownership.

• Design, build and operate cloud-first ETL platform
• Shape cloud-first operational and analytic data and reporting environment
• Onboard customer data from multiple data sources
• Design and implement data warehouse solutions
• Data Analysis to support business initiatives
• Influence and create new designs, architectures, standards, and methods for large-scale problems and systems.
• Service capacity planning and demand forecasting, software performance analysis and system tuning.
• Conduct periodic on-call duties for DevOps-related areas.
• Design and implement complex and reusable ETL processes
• Drive change by staying up to date with the latest tools and technologies
• Collaborate with senior developers and architects to ship fully-fledged features
• Improve Agile delivery processes by continuously providing feedback and coming up with new ideas 

Skills: ETL Development, Data Reporting, Data Onboarding, Data Warehouse Design, Data Analysis, System Architecture, Performance Tuning, Agile Collaboration.

• Create and maintain optimal on-premise and cloud-based data pipeline architectures capable of ingesting structured and unstructured data using both batch & streaming methods in a secure, scalable and efficient manner.
• Assemble large, complex data sets that meet functional and technical requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources, both internal and external.
• Develop data flows that can leverage both on-premise and cloud architectures.
• Work with stakeholders including the business analytics teams and IS architecture teams to assist with data-related technical issues and support data infrastructure needs.
• Work in a highly efficient and motivated agile-based scrum team embracing the product model.
• Influence and enable effective decision-making at the leadership level by retrieving and aggregating data from multiple sources and compiling it into digestible and actionable forms.
• Design automated solutions for recurrent reporting (daily/weekly/monthly), in-depth analysis databases, and data control processes.
• Improve tools, and processes, scale existing solutions, and create new solutions as required based on stakeholder needs
• Lead GCR-wide initiatives across the Operations group and be an active regional participant on this team

Skills: Pipeline Architecture, Data Assembly, Process Automation, ETL Development, Cloud Integration, Stakeholder Support, Agile Scrum, Decision Support.

• Data mapping between source and target systems
• Determines structural data requirements, Reconciliation measures and definition for data transfer and transformation batch jobs
• Act as the key resource for data onboarding & implementation tasks incl. testing of newly sourced data sets within a large and strategic Transaction Monitoring system implementation project
• Involved in the design and implementation of data-relevant topics related to the solution to be implemented
• Strive to identify re-use potential across different data integration channels and patterns
• Provide 2nd and 3rd-level support (e.g. Incident & Problem Management) for the IT Service and for the local application instances
• Create and maintain data pipelines on a data analytics platform
• Assemble complex and scalable data sets that meet the business requirements of the GCS Team, the DAMA Team, and the GCCI Team at PayPal
• Conduct “Adhoc” data analysis and ETL impact assessments
• Build and maintain comprehensive data models
• Provide production support and Root Cause Analysis for complex ETL failures on the Customer Service platforms described in this document.

Skills: Data Mapping, Data Reconciliation, System Testing, Solution Design, Data Integration, IT Support, Data Pipelining, ETL Development.

• Work with the Chief Health Informatics Office to understand Data governance requirements and needs
• Analyze data between systems and identify any possible data duplication or data that is changed and could affect downstream systems
• Define system and technical requirements, including both functional and non-functional, to support database management system development within the SAFe Agile methodology
• Develop conceptual, logical, and physical designs for database solutions
• Develop and maintain database solutions for managing structured and unstructured data
• Develop and maintain database solutions for data ingestion (batch and streaming)
• Develop and maintain database scripts supporting ETL processes and functions
• Develop automated tests that can be incorporated into the CICD pipeline
• Create, develop and own the data warehouse environment used for the management of the AWS GCR business
• Work with business customers, data engineers, software developers, and machine learning scientists to design and enhance data infrastructure to support the growth of AWS.
• Work closely with data engineers and business owners to provide clean data sources required for analytics and reporting.

Skills: Data Governance, Database Design, ETL Management, CICD Integration, Warehouse Development, AWS Management, Team Collaboration, Data Reporting.

• Received Training on or have been exposed to Informatica Cloud Services (CDI, CAI, CMI, and CDIe)
• Well-versed in development standards for PowerCenter and IICS
• Cloud exposure preferably in Azure and/or Snowflake
• Adept in relational database tools, including SQL
• Ability to self-manage and stay on track with commitments, resourceful in solving problems and removing impediments
• Capability to think creatively, champion new ideas, and challenge the status quo
• Adaptable and effectively cope with rapidly changing business landscape
• Experience in Data Engineering, Data Warehousing, or Integration Development
• Experience in Cloud development
• Agile delivery experience and commercial Insurance experience

Qualifications: BS in Computer Science with 5 Years of Experience

• Experience as a self-starter who enjoys pursuing challenges and seeking solutions with minimal supervision.  
• Experience with Higher Ed and Student Information Systems 
• Experience in Abinitio ETL environment/equivalent
• Experience in Batch / Stream processing using middleware messaging Infrastructure like MQ
• Exposure to monitoring tools (Splunk, Graphana etc)
• Exposure to TWS Maestro
• Exposure to Order Management / Fulfilment
• Knowledge in Support process Notifying unavailability of environments, recycling the servers, checking server/logs in Linux server.
• Problem-solving skills and decision-making skills
• Solid work ethic and superior attention to detail

Qualifications: BS in Information Systems with 5 Years of Experience

• Experience with Python including libraries such as pandas and pyspark as well as testing frameworks, linting and use of object-oriented functionality such as classes
• Experience with SQL, particularly on large datasets
• Experience with the CLI/bash scripting language
• Experience with Big Data and knowledge of data management techniques eg partitioning, file compression
• Experience with Big Data technologies such as Apache Spark, Impala and Hive
• Experience with cloud platforms, preferably AWS but including Azure and GCP
• Understanding of DevOps concepts and when to apply them to data transformation (or DataOps)
• Familiarity with agile methodology, particularly the use of Jira and Confluence, particularly when working across several large projects
• Good communication and stakeholder management skills

Qualifications: BA in Data Science with 2 Years of Experience

• Strong hands-on experience in native AWS Glue ETL engineering, operationalization, automation build-out, and integration with other native AWS services and CICD using Python, Perl and AWS APIs.
• Very strong hands-on AWS experience in administration, configuration, design and platform technical systems engineering in Glue, Python and AWS Services.
• Extensive experience in Application migrations to Cloud. 
• Strong understanding and hands-on experience in Linux, Oracle 12C/19C and Netezza databases.
• Must have excellent communication, time management, and technical presentation skills.
• Must be detail-oriented and possess strong problem-solving skills and be able to provide consulting services to internal customers and stakeholders
• AWS solutions architect and/or AWS developer certification
• Experience in Talend in AWS environment
• Experience in migrating ETL applications from on-premise to AWS is strongly desired.
• Experience in automating Informatica tech stack upgrades framework using scripting languages like Python, Perl, or UNIX.
• Ability to understand the big picture, identify areas of efficiency and work to implement ideas into solutions

Qualifications: BS in Software Engineering with 4 Years of Experience

• Direct related computer programming experience.
• IT experience with SQL development experience on multiple relational database platforms including Teradata.
• Cloud ETL development experience using AWS Services/tools, Databricks, Snowflake, and/or similar technologies.
• Experience in physical data modeling, partitioning, and development. optimization/indexing strategies on the Teradata platform or similar DBMS.
• Experience with Informatica PowerExchange/ Informatica PowerConnect/ Informatica PowerCenter.
• Experience with UNIX scripting and utilities.
• In-depth knowledge of Data Warehouse (DW) concepts for ETL Development.
• Experience in Code migration and deployment using AWS resources in the cloud environment.
• Experience in working with Python programming.
• Experience in leading a technical team of 3-5 members.
• Should have experience in participating in CMS reviews such as TRB (Technical Review Board).
• Prior experience developing healthcare IT solutions strongly 
• Experience in Github, or similar version control tools.
• Prior experience using the Agile development framework, and CI/CD DevOps.
• Demonstrates good solid communication skills.
• Shows strong technical design and coding skills with cloud technologies.
• Demonstrated out-of-the-box, innovative ideas that resulted in improved performance.

Qualifications: BA in Statistics with 15 Years of Experience

• Experience designing and developing data repositories
• Experience designing, developing, and testing software applications and/or infrastructure
• Experience leading project delivery
• Must be passionate about contributing to an organization focused on continuously improving consumer experiences
• Experience with ITIL
• PMP-certified and Six Sigma certified
• Comprehensive understanding of the SDLC lifecycle.
• Effective and efficient time management skills.
• People person, team player and strong can-do mentality
• Ability to handle sensitive, confidential information.

Qualifications: BS in Computer Science with 6 Years of Experience

• Experience with DBMS, ETL tools. 
• Specific expertise in implementing Informatica in an Enterprise environment
• Advanced SQL capabilities 
• Knowledge of database design techniques and experience working with extremely large data volumes 
• Strong understanding of data warehousing methodologies, ETL processing and dimensional data modeling.
• Programming experience in Python
• Strong problem-solving skills and troubleshooting skills
• Familiarity with the Hadoop ecosystem (HDFS, Spark)
• Knowledge of RDBMS, MPP systems
• Knowledge of streaming technologies like Kafka
• Knowledge of reporting tools such as QlikSense, Tableau, Cognos
• Experience working in a UNIX or Linux development environment

Qualifications: BS in Information Systems with 7 Years of Experience