SyanSoft - Senior Consultant - Data Engineering

<p><p><b>Experience :</b></p><p><p><b><br/></b></p>- 6+ years of experience in data engineering, manipulation, and analytics support roles across various domains<br/><br/>- Strong hands-on experience in building ETL pipelines, data cleansing, and normalization using R, Python and SQL<br/><br/>- Proficient in integrating data across cloud and on-premise systems, managing data integrity, and performing advanced transformations<br/><br/>- Supported business teams with structured datasets for reporting, dashboards, and ad hoc analysis<br/><br/><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Data Storage and Organization : Designing, implementing, and maintaining databases and data warehouses to store and organize data effectively.

<br/><br/>- Data Integrity and Quality : Ensuring data accuracy, consistency, and reliability through validation, cleansing, and error handling.

<br/><br/>- Data Security and Access Control : Implementing security measures to protect sensitive data and managing access permissions for authorized users.

<br/><br/>- Data Manipulation and Transformation : Using programming languages like Python, R, or SQL to transform and manipulate data for analysis and reporting.

<br/><br/>- Data Analysis and Reporting : Assisting in data analysis, creating reports, and providing insights to support business decision-making.

<br/><br/>- Metadata Management : Managing metadata (data about data) to improve data discoverability and usability.

<br/><br/>- Data Lifecycle Management : Overseeing the entire lifecycle of data, from creation to archival or deletion.

<br/><br/><b>Skills Required : </b><br/>- Data Management : Strong understanding of data management principles, including data modeling, data warehousing, and data governance.

<br/><br/>- Data Manipulation : Proficiency in programming languages like Python, R, or SQL for data manipulation and analysis.

<br/><br/>- Database Management : Experience with database technologies (e.g., SQL Server, Oracle, MySQL).

<br/><br/>- Analytical Skills : Ability to analyze data, identify trends, and derive meaningful insights.

<br/><br/>- Problem-Solving : Ability to troubleshoot data-related issues and implement effective solutions.

<br/><br/>- Communication Skills : Effectively communicate data findings to technical and non-technical audiences.</p><br/></p> (ref:hirist.tech)