SyanSoft - Senior Consultant - Data Engineering

3 weeks ago

Gurugram, India SyanSoft Technologies Full time

Experience :- 6+ years of experience in data engineering, manipulation, and analytics support roles across various domains- Strong hands-on experience in building ETL pipelines, data cleansing, and normalization using R, Python and SQL- Proficient in integrating data across cloud and on-premise systems, managing data integrity, and performing advanced transformations- Supported business teams with structured datasets for reporting, dashboards, and ad hoc analysisKey Responsibilities :- Data Storage and Organization : Designing, implementing, and maintaining databases and data warehouses to store and organize data effectively. - Data Integrity and Quality : Ensuring data accuracy, consistency, and reliability through validation, cleansing, and error handling. - Data Security and Access Control : Implementing security measures to protect sensitive data and managing access permissions for authorized users. - Data Manipulation and Transformation : Using programming languages like Python, R, or SQL to transform and manipulate data for analysis and reporting. - Data Analysis and Reporting : Assisting in data analysis, creating reports, and providing insights to support business decision-making. - Metadata Management : Managing metadata (data about data) to improve data discoverability and usability. - Data Lifecycle Management : Overseeing the entire lifecycle of data, from creation to archival or deletion. Skills Required : - Data Management : Strong understanding of data management principles, including data modeling, data warehousing, and data governance. - Data Manipulation : Proficiency in programming languages like Python, R, or SQL for data manipulation and analysis. - Database Management : Experience with database technologies (e.g., SQL Server, Oracle, MySQL). - Analytical Skills : Ability to analyze data, identify trends, and derive meaningful insights. - Problem-Solving : Ability to troubleshoot data-related issues and implement effective solutions. - Communication Skills : Effectively communicate data findings to technical and non-technical audiences. (ref:hirist.tech)

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