For the given job description <<The Senior Manager, Data Architecture & Data Engineering is responsible for translating business strategic goals into future-state data engineering and data science solutions. This includes delivery full life-cycle from execution roadmaps, to implementation, and to production operations. This role drives the creation and maintenance of enterprise data and analytics capabilities, data reference architectures, and integrated data & analytics technology roadmaps that will guide our strategic investments and enterprise strategy.Translate business strategic goals into actionable future-state data engineering and data science architectures and solutions.Delivery of full life-cycle Data Solutions from execution roadmaps, to implementation, and to operations. This includes a specific focus on ELT and ETL Data Pipeline solutions from inception to production.Lead end to end solution delivery of enterprise data warehouse, data marts, and data lake with governance.Drive the creation and maintenance of enterprise data and analytics capabilities, data solutions, and integrated data & analytics technology roadmaps that will guide our strategic investments and enterprise strategy.Deliver architecture connecting Data Science, Data Engineering, and Data Analytics practices together to deliver impactful data products.Strong partnership with DevOps, DataOps, business partners, engineering teams, and data management.A minimum of ten (10) years of experience in IT with a minimum (6) years in data architecture and data solutions are required.Successful track-record in managing a team of Data Engineers and Data ScientistsSkilled in hybrid cloud data platforms and analytical technologies including Azure andor GCP data infrastructure, Spark, Data Lake, Data Warehouse and Data Marts, BI reporting with PowerBI, Metadata Management, Data Governance, Master Data Management, Data Catalog, and Business Glossary.Ability to document, communicate, implement, and operationalize complex architectures.Experience with ELT and ETL Data Pipeline solutions from inception to production.Proficient in SQL, NoSQL and columnar databases.Experience with SparkPyspark and JSON.Excellent grasp of Computer Science fundamentals - data structures and algorithms.Must have Panda Data Frames knowledge and best practices, execution engines, DAGs (airflow, dagster, luigi, etc), and Kubernetes.Proficient with GitLabFamiliarity with Azure data factory preferred, Google data flow or AWS GlueExperience with Biomedical Informatics, S3Azure blob store, Machine Learning and AI, Unstructured Data, and Data Democratization is preferred.Experience with Agile methodologies, Kanban preferred, and using tools like Jira and Confluence to facilitate the work.Bachelor's degree in computer science or a related discipline required. Master's degree preferred. RECRUITERS NOTES: The role will definitely be hands-on and will require excellent communication skills. The hiring manager mentioned the following technologies: AImachine learning; data warehouses; product support; Cloud experienceAzure; must be open to new technologies. Working with the Product Development Team. Act as the point of contact; will create a group that helps the product teams. Create data warehouses for analytics. MUST have excellent communication skills  verbal and written. This person will envision strategy and must be able to effectively communicate that strategy to others.  The organization has asked me not to advertise the compensation. If you contact me I would be more than willing to share it with you. 
For over 50 years this non-profit organization has made it their mission to protect patients from unsafe and ineffective medical technologies and practices. More than 5,000 healthcare institutions and systems worldwide including four out of every five U.S. hospitals rely on the services of this organization to guide their operational and strategic decisions. In addition, they serve public and private payers, federal and state agencies, policymakers, ministries of health, associations, and accrediting agencies. Benefit from a healthy work-life balance while staying on the leading edge of technology and thriving in an innovative startup-like culture minus the risk. Sleep well knowing you are helping achieve a world where safe, high-quality healthcare is accessible to everyone. Excellent benefits to include work from home, flex-time and 19 days starting vacation.
Its a nice place to work!>> the resume: <<EducationBachelor of Engineering:Computer Science & Information Technology,Expected in05/2011toSri Krishnadevaraya University-Kurnool, AndhraPradesh,GPA:
SkillsETL Tools : DataStage ,Informatica Power Centre and SSIS PackagesBig Data Technologies : Hive,Spark , HDFS,Kafka, SqoopDatabase : Oracle ,SQL Server,DB2, Netezza , Mongo, SnowflakeProgramming Languages : UNIX, Python, PL/SQLWorking experience in Agile ,Waterfall model and tracking in JIRRA and Microsoft DevopsConfiguration Tools : PVCS , Microsoft TFS, Azure CI/CD pipelineCloud Experience: AzureJob Scheduling Tools: CA7, Control -MOperating System : Win XP, 7, 10 and UNIX.AdaptabilityData managementOrganization and Time managementTeamwork
Professional SummaryHaving 9 years of Industry experience in ETL Tools such as DataStage , Informatica and SSI Packages.Having experience in Data Bricks, Hive SQL, Azure CI/CD pipeline, Delta Lake, Data Lake, Hadoop File system, SnowflakeHaving experience in Building ETL pipe lines using Apache Spark, PythonExcellent Experience in Designing, Developing, Documenting, Testing of ETL jobs and mappings in Server and Parallel jobs using DataStage/Informatica to populate tables in Data Warehouse, DataMart ,ODS and Large Data sets.Experience in working on streaming data using IBM MQ and Kafka.Experience in working using Agile(SCRUM) and Waterfall Development MethodologyExperience in logging tickets in Service now, Version control tools PVCS, Azure DevOps CI/CD pipelineExperience in Azure work environment.Work experience in IBM Master Data Management(MDM) ArchitectureWorking Experience on Azure CloudExperience in working with multiple Data Bases like Oracle, SQL Server, DB2, Netezza, NOSQL Mongo DB, Salesforce, Snowflake DBExperience in working on data migration from oracle 9i to 10g and DB2 to NetezzaExpertise in using DataStage/Informatica to integrate with different Sources and Targets like Azure SQL database, Oracle, Mainframe systems, Netezza, Salesforce, SOAP and REST services, XML, SQL Server and MongoDBExperience in UNIX, AIX and Linux server resource monitoring and load balancing.Ensured that user requirements are effectively and accurately communicated to the other members of the development team and Facilitate communications between business users, developers and testing teams.Conducting internal and external reviews as well as formal walkthrough among various teams, and documenting the proceedings.Excellent problem-solving and trouble-shooting capabilities. Quick learner, highly motivated, result oriented and an enthusiastic team player
Work HistorySenior Data Engineer,02/2021toCurrentFactset Research Systems Inc.–San Francisco,CA,Bank Operational Data Distribution Hub is highly availability distribution center for operational data. The servers have been set up to provide failover capabilities in the event of any issues which could cause the hardware to shut down. The design of this system focuses on four main vendors. We load data toHDFS storage as well and built HIVE on top of this to analyze.Developed, implemented, supported and maintained data analytics protocols, standards and documentation.Analyzed complex data and identified anomalies, trends and risks to provide useful insights to improve internal controls.Contributed to internal activities for overall process improvements, efficiencies and innovation.Communicated new or updated data requirements to global team.Explained data results clearly and discussed how it can be utilized to support project objectives.Planned and implemented security measures to safeguard vital business data.Created and implemented database designs and data models.Monitored incoming data analytics requests, executed analytics and efficiently distributed results to support strategies.Built databases and table structures following OLAP/OLTP architecture methodology for web applications.Lead Data Engineer,01/2018to01/2021Cox Communications Inc–Dayton,OH,Master Data Management(MDM) EQH is primary vehicle for customer self-service for Life and Annuity products. Displays current policy values, statements, confirmation notices and prospectuses. Supports profile maintenance including address, phone, and email address changes, financial profile and investment strategies. Self-service tools include performance, financial transactions, ACH payments, and loans.Responsibilities:.Leads program/project application engineering teams consisting of cross functional, global, and virtual groups; directly supervises staff; assigns responsibility to members; monitors progress of daily activities.Monitor and manage program/project application engineering baseline to ensure activities are occurring as planned - scope, budget and schedule and managing variances.Managed performance monitoring and tuning while identifying and repairing issues within database realmProactively identify risks, issues and problems on programs/projects - leading engineering and project/program team to develop risk management and issue management plans.I have saved 1 person monitoring work by performing optimizationAbility to clearly articulate problems and proposed options and solutions and apply judgment in implementing application engineering methodologies, processes and practices to ensure security, resilience, maintainability and quality of MDM solutions.Analyses and defines detailed MDM processes, tasks, data flows, and dependencies.Develop custom mapping functions.Participates in system and integration testing.Produces database code (SQL, stored procedures, and any other database specific code) solutions meeting technical specifications and business requirements according to established designs.Proactively resolved issues within team.Validated warehouse data structure and accuracy.Cooperated fully with product owners and enterprise architects to understand requirements.Collaborated with multi-functional roles to communicate and align development efforts.Mapped data between source systems and warehouses.Performed systems and data analysis using variety of computer languages and procedures.Documented data warehouse architecture to guarantee capacity met current and forecasted needs.Developed and modified programs to meet customer requirements.Quickly learned new skills and applied them to daily tasks, improving efficiency and productivity.Provided global thought leadership in analytics solutions to benefit customersSenior ETL Developer,08/2017to12/2017Epam Systems Inc–Washington,DC,Netezza Re-write: This project is about migrating around 70 Data Marts runs on Oracle to Netezza in 10 phases. This includes redesigning DataStage jobs integrates with oracle to change it to Netezza and Informatica to DataStage migration.Role & Responsibilities :Requirement Analysis, Creating mappings, Unit Testing, Defect Fixing, Documentation and Status Reporting.Identifying Entities, cardinality and developing Logical and Physical Data Model.Mentored newly hired employees, offering insight into job duties and company policies for easier transition to job positionPrioritized and organized tasks to efficiently accomplish service goalsAnalyzing existing process, scripts and preparing design document with performance optimized approach.Performed impact analysis on every source and target tables.Responsible for estimation of Design, Development and Unit testing.Analyzing dependent objects and data involved and updating efficient unit testing approach.Responsible for scheduling changes which includes changing node to new 11.5 server, change in run time parameters, change in predecessor or successor requirements and removing jobs.Have published Play book or Implementation plan for every release.Responsible for driving, implementation and doing post implementation data checks.Resolved complex DataStage performance issues and other environment issues.Designed and Developed reusable components which can parse dsx and provide input and output SQLs used in DataStage code.Reviewed Netezza Deliverables and DataStage deliverables in every phase of project.Resolved Netezza SQL issues to Business users.Co-ordinated with downstream systems and worked on impacted system sign off, review and production preparation.Senior ETL Developer,01/2016to07/2017Epam Systems Inc–PA,State,Financial Move Forward (inforce Data): Equitable Enterprise Data Warehouse (EDW) manages collection of components in both Mainframe (Information Database(IDB)) and Distributed environments (Open system Data Warehouse(OSDW)) that include batch processes, operational data stores, business intelligence (BI) data marts and general data services to all IT lines of business.FMF-Inforce Data project consists of two phases.First phase involves migration of DB2 data to Netezza DB with help of integrated ETL tool [Data Stage 8.7].Second phase contains Data Modelling and DataMart design of migrated tables in Netezza.First phase, basically involves initial data load (IDL) of 400 Db2 tables to Netezza DB.Took care of installing Netezza client on UNIX box where Data stage client exists and ensured connectivity is good for designing data stage jobs Role & Responsibilities:.Understanding requirements and coming up with high level design.Created Low-level design of mapping document.Created mappings and transformations as per business requirements.Writing re-usable mapplets and Oracle PL/SQL stored procedures.Unit test jobs according to test plans.Monitored, debugged, and scheduled mappings according to requirements.Improving performance of mapping execution thus reducing CPU and execution cost and time.Providing System Testing and User Testing Support IQA of Mappings.Capable of assisting team of developers, both onshore and offshore to provide strategic plan for execution of this project.Ability to work with key team members to ensure solution meets business requirements.Provided Proof of Concept (POC) for technical approach regarding design of data stage jobs.Understanding requirements and coming up with technical design strategies with project team and business users.Contributed to detailed estimation of development work.Involved in Estimation of DBA Effort for this project.Designed Field level mapping template design based on business rules/ transformations and validations.Performed problem assessment, resolution and documentation for new and existing database objects.Prepared Knowledge Transition documents which were appreciated by business IT people.Communicated with data architects, programmers and engineers to keep projects on track.>>. The result is, No Fit

Fit assessment: No Fit