Data Integration Lead

Responsibilities •  Leads the delivery processes of data extraction, transformation, and load        from disparate sources into a form that is consumable by analytics                processes, for projects with moderate complexity, using strong technical        capabilities and sense of database performance •  Designs, develops and produces data models of relatively high                        complexity, leveraging a sound understanding of data modelling                    standards to suggest the right model depending on the requirement •  Batch Processing - Capability to design an efficient way of processing      high volumes of data where a group of transactions is collected over a          period  •  Data Integration (Sourcing, Storage and Migration) - Capability to design      and implement models, capabilities, and solutions to manage data within      the enterprise (structured and unstructured, data archiving principles,            data warehousing, data sourcing, etc.).  This includes the data models,          storage requirements and migration of data from one system to another •  Data Quality, Profiling and Cleansing - Capability to review (profile) a     data set to establish its quality against a defined set of parameters and to     highlight data where corrective action (cleansing) is required to     remediate the data  •  Stream Systems - Capability to discover, integrate, and ingest all available     data from the machines that produce it, as fast as it is produced, in any         format, and at any quality •  Excellent interpersonal skills to build network with variety of department       across business to understand data and deliver business value and may         interface and communicate with program teams, management and               stakeholders as required to deliver small to medium-sized projects •  Understand the difference between on-prem and cloud-based data               integration technologies.
The Role offers •  Opportunity to join a global team to do meaningful work that contributes      to global strategy and individual development  •  An outstanding opportunity to re-imagine, redesign, and apply                      technology to add value to the business and operations •  Gives an opportunity to showcase candidates’ strong analytical skills and        problem-solving ability •  Learning & Growth opportunities in cloud and Big data engineering              spaces
Essential Skills
•  6+ years’ experience in developing large scale data pipelines in a                   cloud/on-prem environment. •  Highly Proficient in any or more of market leading ETL tools like                      Informatica, DataStage, SSIS, Talend, etc., •  Deep knowledge in Data warehouse/Data Mart architecture and                    modelling •  Define and develop data ingest, validation, and transform pipelines. •  Deep knowledge of distributed data processing and storage •  Deep knowledge of working with structured, unstructured, and semi             structured data •  Working experience needed with ETL/ELT patterns •  Extensive experience in the application of analytics, insights and data              mining to commercial “real-world” problems •   Technical experience in any one programming language preferably, Java,       .Net or Python
Essential Qualification •  BE/Btech in Computer Science, Engineering or relevant field