Urgent! Quantiphi - Data Architect - ETL Tools Job Opening In Thiruvananthapuram – Now Hiring Quantiphi Analytics
<p><p><b>Role :</b> Technical Architect Data.<br/><br/><b>Work location :</b> Mumbai, Bangalore, Trivandrum (Hybrid).<br/><br/><b>Notice Period :</b> Any.<br/><br/><b>Role & Responsibilities :</b></p><p><p><b><br/></b></p>- 5+ years of experience in building and managing Data Lakes, Data Warehouse, Data Integration, Data </p><p>Migration and Business Intelligence/Artificial Intelligence solutions on Cloud (GCP/AWS/Azure).<br/><br/></p><p>- Ability to understand business requirements, translate them into functional and non-functional areas, define non-functional boundaries in terms of Availability, Scalability, Performance, Security, Resilience etc.<br/><br/></p><p>- Experience in architecting, designing, and implementing end to end data pipelines and data integration </p><p>solutions for varied structured and unstructured data sources and targets.<br/><br/></p><p>- Experience of having worked in distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud.<br/><br/></p><p>- Well versed with various Data Integration, and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc.
on various Cloud.<br/><br/></p><p>- Experience of having worked with traditional ETL tools like Informatica/DataStage/OWB/Talend, etc.<br/><br/></p><p>- Deep knowledge of one or more Cloud and On-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc.<br/><br/></p><p>- Exposure to any of the No-SQL databases like Mongo dB, CouchDB, Cassandra, Graph dB, etc.<br/><br/></p><p>- Experience in architecting and designing scalable data warehouse solutions on cloud on Big Query or Redshift.<br/><br/></p><p>- Experience in having worked on one or more data integration, storage, and data pipeline toolsets like S3, Cloud Storage, Athena, Glue, Sqoop, Flume, Hive, Kafka, Pub-Sub, Kinesis, Dataflow, DataProc, Airflow, Composer, Spark SQL, Presto, EMRFS, etc.</p><p><br/></p><p>- Preferred experience of having worked on Machine Learning Frameworks like TensorFlow, Pytorch, etc.<br/><br/></p><p>- Good understanding of Cloud solutions for Iaas, PaaS, SaaS, Containers and Microservices Architecture and Design.<br/><br/></p><p>- Ability to compare products and tools across technology stacks on Google, AWS, and Azure Cloud.<br/><br/></p><p>- Good understanding of BI Reposting and Dashboarding and one or more toolsets associated with it like Looker, Tableau, Power BI, SAP BO, Cognos, Superset, etc.<br/><br/></p><p>- Understanding of Security features and Policies in one or more Cloud environments like GCP/AWS/Azure.<br/><br/></p><p>- Experience of having worked in business transformation projects for movement of On-Premise data solutions to Clouds like GCP/AWS/Azure.<br/><br/><b>Role :</b></p><p><p><b><br/></b></p>- Lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence.<br/><br/></p><p>- Interface with multiple stakeholders within IT and business to understand the data requirements.<br/><br/></p><p>- Take complete responsibility for the successful delivery of all allocated projects on the parameters of Schedule, Quality, and Customer Satisfaction.<br/><br/></p><p>- Responsible for design and development of distributed, high volume multi-thread batch, real-time, and event processing systems.<br/><br/></p><p>- Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.<br/><br/></p><p>- Work with the Pre-Sales team on RFP, RFIs and help them by creating solutions for data.<br/><br/></p><p>- Mentor Young Talent within the Team, Define and track their growth parameters.<br/><br/></p><p>- Contribute to building Assets and Accelerators.<br/><br/><b>Other Skills :</b></p><p><p><b><br/></b></p>- Strong Communication and Articulation Skills.<br/><br/></p><p>- Good Leadership Skills.<br/><br/></p><p>- Should be a good team player.<br/><br/></p><p>- Good Analytical and Problem-solving skills.</p><br/></p> (ref:hirist.tech)
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Unlock Your Quantiphi Data Potential: Insight & Career Growth Guide
Real-time Quantiphi Data Jobs Trends in Thiruvananthapuram, 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 Quantiphi Data in Thiruvananthapuram, 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 147153 jobs in India and 1136 jobs in Thiruvananthapuram. This comprehensive analysis highlights market share and opportunities for professionals in Quantiphi Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Quantiphi Analytics is currently hiring and seeking a Quantiphi Data Architect ETL Tools 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 Quantiphi Analytics adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Quantiphi Data Architect ETL Tools Jobs India varies, but the pay scale is rated "Standard" in Thiruvananthapuram. 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 Quantiphi Data Architect ETL Tools typically include Computer 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 Quantiphi Data Architect ETL Tools interview at Quantiphi Analytics, 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 Quantiphi Analytics's products or services and be prepared to discuss how you can contribute to their success.
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