ACL Digital is hiring for Senior Data Engineer position.
Experience - 8 to 10 yrs.
Looking for Immediate Joiners only.
Job Location - Whitefield, Bangalore.
Work Mode : Onsite
KEY TASKS & RESPONSIBILITIES :
- Work closely with stakeholders to understand business requirements, translate them into technical solutions, and deliver actionable insights.
- Deep understanding of system architecture, design patterns, scalability, and performance optimization.
- Design, develop and maintain interactive dashboards, reports, and visualizations using Qlik Sense.
- Extract, Transform, and Load (ETL) data from various sources/data marts into Qlik Sense.
- Good understanding of SQL & able to write simple to moderate SQL queries.
- Develop robust data models, including data transformations and scripting, for optimal performance and accuracy.
- Optimize data models and dashboards for speed and efficiency.
- Manage/control Qliksense securities using section access.
- Ensures best practices are followed and code quality is high
- Collaborate with cross-functional teams including Domain experts, data engineers, and other developers to ensure successful project delivery.
- Present insights and findings to non-technical stakeholders in a clear and impactful manner.
- Debug issues in the existing Qliksense Apps and ensure ongoing functionality.
- Stay updated on the latest features and enhancements in Qliksense and other BI tools.
- This role requires a mix of technical expertise in Qliksense and strong analytical and problem- solving skills to support data-driven decision-making across the organization.
- Acts as a mentor for junior engineers, guiding them in technical skills and career development.
- Often leads teams or project initiatives, driving technical decisions and strategy.
- Plays a key role in the success of projects or even the entire product.
- Responsible for identifying risks, addressing technical debt, and ensuring scalability and maintainability.
- all required specifications and quality control documents as per SOP and processes.
- Ensuring compliance with industry quality standards, regulations, guidelines, and procedures.
- Demonstrating strong analytical and problem-solving skills to identify issues and develop creative solutions that drive results.
- Conveying information clearly and concisely to diverse audiences, facilitating understanding and collaboration.
Education/Language:
- 7+ years of professional experience in a Services or Consulting role preferred
- Bachelor's or Master's degree in science, technical or business discipline or equivalent experience preferred
- 5+ years in QlikView and Qliksense development experience preferred
- Understanding of Cloud/ Hybrid data architecture concepts is a plus
- Prior experience in customer facing roles is a plus
- Experience in Pharmaceutical/Biotechnology/Life Science industry is a plus
Professional Skills& Experience:
- Have critical observation and communication skills to Identify any gaps in processes or product
- Ability to work with various technical and non-technical teams
- Must be team oriented with strong collaboration, prioritization, and adaptability skills
- Excellent knowledge of English; verbal and written communication skills with ability to interact with users and clients providing solutions
- Experience in the Life Sciences industry, CRO / Clinical Trial regulated environment preferred
- Experience in regulatory computer systems validation a strong plus
Technical Skills& Experience:
- Proficient in SQL, T-SQL, PL/SQL programming, Or R Package, or Python or SAS
- Proficiency in Microsoft Office Applications, specifically MS Project and MS Excel
- Experience with multiple Database Platforms: Oracle, SQL Server, Teradata, DB2 Oracle
- Experience with Data Reporting Tools: QlikSense, QlikView, Spotfire, Tableau, JReview, Business Objects, Cognos, MicroStrategy, IBM DataStage, Informatica, Spark or related
- Familiarity with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure, Spark, REST APIs, Big Data, ETL, Data Pipelines, Data Modelling, Data Analytics, BI, Data Warehouse, Data Lake or related