Data Analyst/Engineer
Posted Updated
Description
Job Summary:
We are seeking an experienced Data Analyst / Data Engineer with strong expertise in data analytics, data engineering, SQL, data pipeline development, and business intelligence. The role involves designing and maintaining scalable data pipelines, transforming and analysing complex datasets, ensuring data quality, and delivering actionable insights to support business decision-making. The ideal candidate should have experience with cloud-based data platforms, data warehouses, and data visualization tools, with knowledge of Microsoft Azure, Microsoft Fabric, and Microsoft Purview being an added advantage.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines for data ingestion, transformation, integration, and analytics.
- Extract, clean, transform, and analyse large datasets from multiple sources to identify trends, patterns, anomalies, and business insights.
- Develop, optimize, and maintain complex SQL queries, stored procedures, and data transformation logic.
- Build and maintain ETL/ELT workflows to integrate data from databases, APIs, enterprise applications, and cloud platforms.
- Develop data models, analytical datasets, and data structures to support business intelligence, reporting, and analytics requirements.
- Perform data profiling, cleansing, validation, reconciliation, and quality checks to ensure data accuracy, completeness, and consistency.
- Develop interactive dashboards, reports, and visualizations using Power BI or similar business intelligence tools.
- Automate data processing, transformation, and analytical workflows using Python, SQL, and relevant data engineering frameworks.
- Work with data warehouses, data lakes, and lakehouse platforms to support enterprise data processing and reporting.
- Identify and resolve data discrepancies, pipeline failures, performance bottlenecks, and data quality issues.
- Collaborate with business stakeholders, data analysts, data engineers, data architects, and development teams to understand requirements and deliver effective data solutions.
- Ensure compliance with data security, privacy, access control, and enterprise data management standards.
- Document data pipelines, data models, transformation rules, business definitions, and analytical processes.
- Continuously improve data processing efficiency, reporting accuracy, and analytical capabilities to support business objectives.
Role Requirements and Qualifications:
- Bachelor s or Masters degree in computer science, Information Technology, Engineering, Data Science, or a related field.
- 5-8 years of relevant experience in data analytics, data engineering, business intelligence, or enterprise data management.
- Strong hands-on experience with SQL, data extraction, transformation, data analysis, and data modelling.
- Experience designing, developing, and maintaining ETL/ELT pipelines and data integration workflows.
- Proficiency in Python for data processing, analysis, automation, and transformation.
- Experience working with relational databases, data warehouses, data lakes.
- Good understanding of dimensional modelling, star schemas, analytical data structures, and data warehouse concepts.
- Experience with data profiling, data cleansing, data validation, reconciliation, and data quality management.
- Hands-on experience developing dashboards, reports, and visualizations using Power BI or equivalent business intelligence tools.
- Understanding of cloud-based data platforms, preferably Microsoft Azure, including Azure Data Factory, Azure Data Lake Storage (ADLS), and Azure Synapse Analytics.
- Familiarity with data pipeline orchestration, workflow scheduling, and performance optimization.
- Knowledge of data security, role-based access control (RBAC), sensitive data handling, and privacy requirements.
- Ability to translate business requirements into technical data solutions and meaningful analytical insights.
- Strong analytical, troubleshooting, problem-solving, documentation, and communication skills.
Preferred Qualifications:
- Experience with Microsoft Purview for data discovery, metadata management, data classification, lineage, and governance.
- Familiarity with Microsoft Fabric, Fabric Lakehouse, Fabric Warehouse, and Power BI integration.
- Knowledge of data governance frameworks, business glossaries, data stewardship, and data quality management.
- Knowledge of cloud security, data access policies, and enterprise data management best practices.
- Familiarity with Agile/Scrum methodologies and experience working in cross-functional teams.
- Strong attention to detail, a proactive approach to problem-solving, and the ability to deliver reliable, scalable, and high-quality data solutions.
Why Join Us:
- Opportunities to work on transformative AI and Generative AI projects with leading global organizations.
- Continuous investment in learning, upskilling, and professional development.
- Collaborative work environment with experienced technology professionals.
- Competitive compensation and comprehensive employee benefits.
- A culture that encourages innovation, ownership, and career growth.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Skills
- Agile
- AI
- Analytics
- API
- Automation
- Azure
- Azure Data Factory
- Azure Synapse
- Business Intelligence
- Cloud
- Cloud Security
- Data Analytics
- Data Engineering
- Data Governance
- Data Ingestion
- Data Lake
- Data Modeling
- Data Pipelines
- Data Quality
- Data Science
- Data Visualization
- Data Warehousing
- Dimensional Modeling
- ELT
- ETL
- Generative AI
- Lakehouse
- Metadata Management
- Microsoft Fabric
- Microsoft Purview
- Power BI
- Python
- RBAC
- RDBMS
- Scrum
- SQL