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15-20 Years
3 months ago
355 Viewed
297 Applied

Job Description

Job Title : Data Architect
Experience : 15-20 Years
Location : Pune /Bangalore /Chennai /Hyderabad /Mumbai
Notice : max 30 Days
Skills : Big Data / Hadoop + Data Solutions + Architect ( Min 4 Years) + Python + Spark + Hive
Job Description :
  • Design and implement a data strategy that aligns with business processes and approved enterprise architecture patterns. This includes high-level design (HLD), low-level design (LLD), data model designs, database development standards, and the implementation and management of data lakes and data analytics solutions.
  • Manage end-to-end data architecture, design the technical architecture, devise a DevOps strategy, and develop data orchestration frameworks for the proposed solution.
  • Coordinate and collaborate with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data lake.
  • Execute planning and implementation of big data solutions using technologies such as Hadoop and Azure Cloud.
  • Liaise with the architecture review board to present data architecture and seek approval.
  • Define and manage the flow of data and dissemination of information within the organization.
  • Integrate technical functionality, ensuring data accessibility, accuracy, and security.
  • Use a technical approach to create solution options documents with pros and cons, design documents, and present them to the technical governance board.
  • Conduct capacity planning for the platform.
  • Utilize hands-on experience in Python, Spark, Hive, SQL, Azure, and other related technologies.
  • Experience in solutioning using Hortonworks or Cloudera platforms.
Good to have / desirable Skills :
  • A minimum of 15 years of total experience in data solutions and architecture, with at least 4 years in a similar role.
  • Proven experience in handling at least 3 data solutions into production as an Architect.
  • Hands-on experience in solution design, data ingestion patterns for complex data analytic solutions.
  • Proficiency in Python, Spark, Hive, SQL, Azure, Hortonworks, and Cloudera.
  • Strong communication and collaboration skills.
  • Excellent problem-solving skills and attention to detail.
Competency for the roles :
  • Technical Proficiency: The candidate should have an in-depth knowledge and experience in working with Python, Scala, SQL, and Unix scripting. They should be proficient in coding, debugging, and testing these languages efficiently.
  • Big Data Expertise: The candidate should have a strong understanding of Big Data technologies such as Hadoop, Hive, Hbase, and Spark. They should be capable of managing and manipulating large datasets using these technologies.

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At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs, we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications, and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 48 offices in 19 countries within key global markets.

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