Data Integration Specialist

Job Description

Amazon Web Services (AWS) is carrying on that tradition while leading the world in Cloud technologies. As a member of the AWS Professional Services team you will be at the forefront of this transformational technology assisting a global list of companies that are taking advantage of a growing set of services and features to run their mission-critical applications.Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about strong success for the Customer. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. You will collaborate with our customers and/or partners on key engagements and will develop and deliver proof-of-concept projects, technical workshops, feature comparisons, and execute migration projects.You will be based in Hyderabad/Bangalore/Pune and might have to travel globally to ensure customer success.RESPONSIBILITIES: Employ customer facing skills to represent AWS well within the customer s environment and drive discussions with technical and business teams. Design, develop and implement complex cloud-based data solutions for streaming and batch data processing Lead a team of data engineers through technical solutioning, best practices, and guidelines Perform data analysis, design ETL architecture, data modelling and implement robust data pipelines Work on proof of concepts projects / data prototype development in the data solutions domain Automate solutions for repeatable problems Interact with customers to understand their business problems and provide best-in-class data solutions Develop a great engineering and organizational practice through various software development practices Verify technical feasibility and validate solution options for the requirements Develop innovative solutions to complex business and technology problems Develop test plan and testcases to demonstrate application/database readiness post migration Consult for optimal design of environments, analyzing complex distributed production deployments, and making recommendations to optimize performance Educate customers on the value proposition of AWS and AWS services Partner with the sales team to design solutions for customers that drive AWS adoption and revenue Conduct technical sessions for internal teams, partners and customers, Bachelor s degree in Information Science / Information Technology, Computer Science, Engineering, Mathematics, Physics, or a related field. 13+ years of experience in a technical position 5+ years of technical experience in data warehouse or data lake implementation using any of the cloud providers such as Azure, AWS, and GCP Around 5 years of experience in Data Integration Expertise in ETL concepts. Demonstrated strength in data modelling, ETL development, and data warehousing Data Warehousing Experience preferably with Oracle, Redshift, PostgreSQL Query performance tuning skills, proficient in SQL Should have worked on Data mining and reporting systems. Should be able to develop solutions using the BI tool to meet enterprise level requirements for the intended delivery competency. Expertise in DBMS Concepts, Data Modeling, SQL, ETL, Cubes, Data Visualization techniques, Expertise in one of BI tools like (Tableau, Quicksight, QlikView, Business Objects, SSRS, SSAS, Microstrategy) Strong verbal and written communication skills, with the ability to work effectively across internal and external organizations. Expertise in data integration tools preferably on Informatica and/or Talend Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Experience building data products incrementally and integrating and managing datasets from multiple sources Database development experience with a solid understanding of core database concepts, relational database design, ODS & DWH High end troubleshooting and communication skills Extended travel to customer locations may be required to sell and deliver professional services as needed Experience leading large-scale data warehousing and analytics projects using AWS technologies Redshift, Data-pipeline, Lambda, Athena, S3, EC2 and other big data technologies Experience using big data technologies such as Spark, Hive, EMR AWS Associate, Professional or Speciality certification Experience with IT compliance and risk management requirements (i.e. security, privacy, SOX, HIPAA etc.). Proven experience with software development life cycle (SDLC) and agile/iterative methodologies required

Keyskills :
big datait complianceamazon web servicestest caseslife cycledata modelingdata analysisdata miningsoftware development life cycledata solutionsrisk managementweb services