Data Acquisition Group

Job Description

Role: Data Acquisition Group Experience: 10 Years Location: Chennai Mandatory Skills: JD: Core Responsibilities: · Data Collection: Gathering data from various sources, including sensors, databases, APIs, and web scraping. · Data Processing: Cleaning, validating, transforming, and integrating data from different sources. · Data Storage and Management: Ensuring data is stored securely and efficiently, often in databases or data warehouses. · Data Integration: Combining data from different sources into a unified format. · Data Analysis: Identifying trends, patterns, and insights from the collected data to inform business decisions. · Collaboration: Working with data analysts, business intelligence teams, and other stakeholders. · Reporting and Visualization: Preparing reports and dashboards to communicate findings to stakeholders. · System Maintenance and Support: Ensuring the proper functioning of data acquisition systems and addressing any technical issues. · Additional responsibilities include – Developing and implementing data acquisition pipelines. Building and maintaining data storage systems. Analyzing data to identify issues and suggest improvements. Collaborating with other teams to ensure data quality and integrity. Providing technical support for data acquisition systems. Required Skills and Qualifications: · Qualifications – Graduation in any stream with an MBA will be added advantage. · Functional Expertise: Strong understanding of Data acquisition to support Managed Services Reconciliation services. Reconciliation knowledge will be an added advantage. · Technical Skills: Proficiency in programming languages (e.g., Python, Node), data manipulation tools, and database management systems. · Analytical Skills: Ability to analyze data, identify trends, and draw meaningful conclusions. · Problem Solving Skills: Ability to identify and resolve technical issues related to data acquisition. · Communications Skills: Ability to communicate technical information clearly and concisely to both technical and non-technical audiences. · Data Management Skills: Understanding of data structures, data formats, and data quality principles. Show more Show less