Data Manager at Texila Educational and Managemant Services · Coimbatore · 6 - 12 years · ₹10L - ₹15L / yr · Profitable · Posted 8 Mar 2024
Data AnalyticsData Strategy and Planning:
Collaborate with stakeholders to develop and implement data management strategies aligned with business objectives.
Define data standards, policies, and procedures to ensure consistent and accurate data collection and storage.
Data Collection and Integration:
Identify and assess various data sources, both internal and external, to gather relevant and reliable data.
Design and implement data collection methods and processes to ensure data is captured efficiently.
Oversee data integration initiatives to consolidate data from different sources into a unified database.
Data Quality Assurance:
Develop and enforce data quality standards to ensure the accuracy, completeness, and consistency of data.
Implement data validation processes and routines to identify and rectify data discrepancies or errors.
Database Management:
Maintain and optimize data storage systems, including databases, data warehouses, and data lakes.
Ensure data security and compliance with relevant data protection regulations.
Data Analysis and Reporting:
Collaborate with analysts to provide clean and structured data for analysis.
Assist in creating data visualizations and reports to communicate insights and findings to stakeholders.
Team Collaboration:
Work closely with IT teams, data scientists, analysts, and other stakeholders to define data requirements and resolve technical issues.
Provide guidance and training to team members regarding data management best practices.
Shubham Vishwakarma
Full Stack Developer - Averlon
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PythonWe are looking for a dynamic Data Engineer to join our team of technology enthusiasts. You will leverage data to drive strategic decision-making and pioneering solutions, working with complex datasets, collaborating closely with stakeholders, and transforming data into actionable insights to drive innovation.
Qualifications and Skills:
- Minimum 5 years of experience as a Data Engineer
- Hands-on experience with Azure cloud-based data solutions
- Expertise in database design and management, including SQL databases such as SQL Server
- Proficient in ETL (Extract, Transform, Load) design for data integration and processing
- Strong knowledge of data modeling principles and techniques
- Ability to analyze and translate data into actionable insights, reports, and visualizations
- Proficiency in Power BI for reporting and data visualization
Desirable Skills:
- Experience with Power BI Report Builder / Reporting Services
- Knowledge of statistical analysis or Data Science
- Experience within the UK Insurance industry is a plus
- Python or R coding skills
Responsibilities:
- Implement efficient data exchange between internal and external systems to increase efficiency and reduce re-keying and translation errors
- Support the Broking business by developing high-quality information resources, ensuring data availability and accessibility for decision-making
- Engineer data inputs and outputs from core applications and semi-structured remote service data through data syncs between data lake, ODS (SQL database), and leveraging Fabric and ADF
- Perform data engineering tasks including ingestion, cleansing, and collation from a wide range of internal and external sources
- Implement different methods of streaming data and create reconciliations for datasets
- Build analytical models to support reporting and analytics
- Collaborate with an agile delivery team to work on the backlog of specified work
Data AnalyticsRole Overview
We are seeking a skilled Senior Data Analyst with substantial hands-on experience in Source System Analysis, data mapping, data modeling, SQL analysis, and integration testing. The ideal candidate will support seamless data flow across business applications, ensure data accuracy, and contribute to system improvements.
Key Responsibilities
- Conduct detailed data mapping between source and target systems, ensuring consistency and accuracy.
- Build and maintain data models to support business processes, reporting needs, and integration workflows.
- Write and optimize SQL queries for data validation, analysis, migration, and troubleshooting.
- Work closely with cross-functional teams to gather data requirements and understand business logic.
- Develop and execute integration test plans, including functional, data validation, and regression testing.
- Support data migration activities, including extraction, transformation, and loading (ETL).
- Monitor and troubleshoot integration issues, ensuring timely resolution.
- Document integration flows, data dictionaries, mapping catalogs, and knowledge artifacts.
- Ensure integration security, data integrity, and compliance with organizational standards.
Required Skills & Qualifications
- 5+ years of experience insource system integrations, data mapping, and system-to-system data workflows.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
- Hands-on experience with data mapping, data modelling, and database schema design.
- Proficiency in SQL (complex joins, stored procedures, performance tuning).
- Experience with ETL tools or integration platforms (Informatica, Boomi, MuleSoft, Talend, Pentaho).
- Strong analytical and problem-solving skills.
- Experience with API-based integrations (REST/SOAP) is a plus.
- Familiarity with testing methodologies for integrations and data validation.
- Ability to work with business users, understand workflows, and translate requirements into technical solutions.
Preferred Qualifications
- Experience with cloud ERP or cloud integration (AWS/Azure/GCP).
- Knowledge of JSON, XML, CSV transformation.
- Exposure to scripting languages (Python, Shell).
- Experience in Agile/Scrum environments.
- Prior involvement in ERP implementation or upgrade projects.
Competencies
- Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.
- Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.
- Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
- Customer Focus - Building strong customer relationships and delivering customer-centric solutions.
- Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.
Why Join Us?
- Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
- Work on impactful projects that make a difference across industries.
- Opportunities for professional growth and continuous learning.
- Competitive salary and benefits package.
Application Details
Ready to make an impact? Apply today and become part of the QX Impact team!
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Full Stack Developer - Averlon