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1.0 - 5.0 years
0 Lacs
chennai, tamil nadu
On-site
As a skilled Data Engineer, you will leverage your expertise to contribute to the development of data modeling, ETL processes, and reporting systems. With over 3 years of hands-on experience in areas such as ETL, Big Query, SQL, Python, or Alteryx, you will play a crucial role in enhancing data engineering processes. Your advanced knowledge of SQL programming and database management will be key in ensuring the efficiency of data operations. In this role, you will utilize your solid experience with Business Intelligence reporting tools like Power BI, Qlik Sense, Looker, or Tableau to create insightful reports and analytics. Your understanding of data warehousing concepts and best practices will enable you to design robust data solutions. Your problem-solving skills and attention to detail will be instrumental in addressing data quality issues and proposing effective BI solutions. Collaboration and communication are essential aspects of this role, as you will work closely with stakeholders to define requirements and develop data-driven insights. Your ability to work both independently and as part of a team will be crucial in ensuring the successful delivery of projects. Additionally, your proactive approach to learning new tools and techniques will help you stay ahead in a dynamic environment. Preferred skills include experience with GCP cloud services, Python, Hive, Spark, Scala, JavaScript, and various BI/reporting tools. Your strong oral, written, and interpersonal communication skills will enable you to effectively convey insights and solutions to stakeholders. A Bachelor's degree in Computer Science, Computer Information Systems, or a related field is required for this role. Overall, as a Data Engineer, you will play a vital role in developing and maintaining data pipelines, reporting systems, and dashboards. Your expertise in SQL, BI tools, and data validation will contribute to ensuring data accuracy and integrity across all systems. Your analytical mindset and ability to perform root cause analysis will be key in identifying opportunities for improvement and driving data-driven decision-making within the organization.,
Posted 2 days ago
1.0 - 5.0 years
0 Lacs
chennai, tamil nadu
On-site
You should have at least 3 years of hands-on experience in data modeling, ETL processes, developing reporting systems, and data engineering using tools such as ETL, Big Query, SQL, Python, or Alteryx. Additionally, you should possess advanced knowledge in SQL programming and database management. Moreover, you must have a minimum of 3 years of solid experience working with Business Intelligence reporting tools like Power BI, Qlik Sense, Looker, or Tableau, along with a good understanding of data warehousing concepts and best practices. Excellent problem-solving and analytical skills are essential for this role, as well as being detail-oriented with strong communication and collaboration skills. The ability to work both independently and as part of a team is crucial for success in this position. Preferred skills include experience with GCP cloud services such as BigQuery, Cloud Composer, Dataflow, CloudSQL, Looker, Looker ML, Data Studio, and GCP QlikSense. Strong SQL skills and proficiency in various BI/Reporting tools to build self-serve reports, analytic dashboards, and ad-hoc packages leveraging enterprise data warehouses are also desired. Moreover, having at least 1 year of experience in Python and Hive/Spark/Scala/JavaScript is preferred. Additionally, you should have a solid understanding of consuming data models, developing SQL, addressing data quality issues, proposing BI solution architecture, articulating best practices in end-user visualizations, and development delivery experience. Furthermore, it is important to have a good grasp of BI tools, architectures, and visualization solutions, coupled with an inquisitive and proactive approach to learning new tools and techniques. Strong oral, written, and interpersonal communication skills are necessary, and you should be comfortable working in a dynamic environment where problems are not always well-defined.,
Posted 6 days ago
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