SAP BODS

SAP BODS

Hexaware Technologies Limited
Not Specified
Not Specified

Job Description


Job Description
Roles and Responsibilities
ob Description
SAP BODs Sr. Developer Lead
Responsibilities
Front end the delivery of processes to 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
Sound understanding of dimensional data modelling standards and best practices to ensure high quality
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 designand 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 remediat 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-d projects
Desired Candidate Profile
Essential Skills 3+ 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., Fundamental knowledge in Data warehouse/Data Mart architecture and modelling Define and develop data ingest, validation, and transform pipelines. Fundamental knowledge of distributed data processing and storage Fundamental knowledge of working with structured, unstructured, and For cloud data engineer, experience with ETL/ELT patterns, preferably
Perks and Benefits

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