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Urgent! Data Engineer - Business Intelligence Job Opening In Noida – Now Hiring AVE QUEST
<p><p><b>Description :</b></p><p><p><b><br/></b></p>In this role, we are seeking a data engineer to design, implement, and optimize cloud-based</p><p>data pipelines using Microsoft Azure services including ADF, Synapse, and : </b><br/><br/></p><p><br/>- Collaborate with our business analytics and data science teams, gathering requirements and<br/><br/>delivering complete business intelligence solutions<br/><br/></p><p><br/>- Mentor junior software developers and build a strong team<br/><br/></p><p><br/>- Model data and metadata to support discovery, ad-hoc, and pre-built reporting</p><p><br/><br/>- Design and implement data pipelines using Hadoop, Spark, and Azure services such as Blob Storage, SQL Database, Event Hubs, Data Factory, Synapse Analytics, and Databricks<br/><br/></p><p><br/>- Should be able to write Programs & Scripting, Strong in SQL, Proficiency in Python or Scala.
</p><p><br/></p><p>- Experience with PowerShell or Azure CLI for automation is a plus</p><p><br/></p><p><br/>- Partner with security, privacy, and legal teams to deliver solutions that comply with security and privacy policies</p><p><br/><br/>- Own the design, development, and maintenance of datasets our business analytics teams will use to drive key business decisions</p><p><br/><br/>- Develop and promote standard methodologies in data engineering, including scalability,<br/><br/>reusability, maintainability, and usability<br/><br/></p><p><br/>- Tune and ensure compute performance by optimizing queries, databases, files, tables, Ensure data and report service level agreements are met<br/><br/></p><p><br/>- Analyze and solve problems at their root, stepping back to understand the broader context<br/><br/></p><p><br/>- Own continuous engineering operational excellence of the datasets that drive key business decisions<br/><br/></p><p><br/>- Learn and understand a broad range of data resources and know when, how, and which to use and which not to use</p><p><br/><br/>- Keep up to date with advances in big data technologies and run pilots to design the data<br/><br/>architecture to scale with increased data volume using Azure<br/><br/></p><p><br/>- Continually improve ongoing reporting and analysis processes, automating or simplifying<br/><br/>self-service support for datasets<br/><br/></p><p><br/>- Triage many possible courses of action in a high-ambiguity environment, making use of both<br/><br/>quantitative analysis and business we seek in you! : Qualifications / Skills : </b></p><p><br/></p><br/>- Bachelors degree in computer science or related technical field<br/><br/></p><p><br/>- 10+ years of experience in data architecture and business intelligence<br/><br/></p><p><br/>- 5+ years of experience in developing solutions in distributed technologies such as Hadoop, Spark<br/><br/></p><p><br/>- Experience in delivering end-to-end solutions using Azure services Blob Storage, SQL Database, Event Hubs, Data Factory, Synapse Analytics, and HDInsight</p><p><br/></p><p><br/>- Experience in programming using Python, Java, or Scala<br/><br/></p><p><br/>- Expert in data modeling, metadata management, and data quality<br/><br/></p><p><br/>- SQL performance tuning<br/><br/></p><p><br/>- Strong interpersonal and multitasking skills with the ability to balance competing priorities<br/><br/></p><p><br/>- Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams</p><p><br/><br/>- An ability to work in a fast-paced ambiguous environment where continuous innovation is occurring</p><p><br/></p><p>- Experience with a business intelligence reporting Qualifications/ Skills : </b></p><p><br/></p><br/>- Experience with Databricks for advanced analytics and data processing<br/><br/></p><p><br/>- Understanding of well-architected data pipeline designs<br/><br/></p><p><br/>- Expertise in monitoring and fault-tolerant pipeline designs<br/><br/></p><p><br/>- Knowledge of cluster configuration for optimal performance<br/><br/></p><p><br/>- Ability to create cost-optimal solutions<br/><br/></p><p><br/>- Experience in exploratory data analysis (dashboarding, plotting) using machine learning technologies and algorithms is desirable</p><p><br/><br/>- Good knowledge of standard machine learning techniques (like regression, classification, anomaly detection, forecasting) by using standard machine learning libraries part of Spark, Python is desirable</p><p><br/><br/>- Prior experience in gen AI and related tools and techniques (such as large language models, prompt engineering) is desirable</p><br/></p> (ref:hirist.tech)
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Noida, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in Noida, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 632881 jobs in India and 6395 jobs in Noida. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! AVE QUEST is currently hiring and seeking a Data Engineer Business Intelligence to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at AVE QUEST adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer Business Intelligence Jobs India varies, but the pay scale is rated "Standard" in Noida. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Engineer Business Intelligence typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Data Engineer Business Intelligence interview at AVE QUEST, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the AVE QUEST's products or services and be prepared to discuss how you can contribute to their success.
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