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Data Architect

3.00 to 8.00 Years   Pune   21 Nov, 2022
Job LocationPune
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Responsibilities
    • Understand the business problem, industry context and able to translate data and technical concepts into requirement documents and user stores for data engineering.
    • Actively mentor and coach the team to realize the best solution to a problem
    • Facilitating and influencing the stakeholders and teams towards the right architecture and become an interface between Leadership and delivery team.
    • Architect standard-to-advanced solutions using modern technologies and platform providing best practices
    • Works with team members on requirements and reviewing the quality of work prior providing necessary feedback on day-today basis fostering innovation
    • Get stakeholder feedback aligning on technical approach, deliverables, and roadmap.
    • Create and maintain efficient data pipelines, integrating wide variety of sources, internal and external and transform using SQL, Spark, and other AWS big data technologies like Glue etc.
    • Create estimates for technical deliverables and cloud infrastructure for budgetary approvals.
    Qualifications
    • 12-15 years of hands-on experience in building large scale data platform, 3+ years of experience in instrumenting data pipelines in distributed environment with technologies like Hadoop, Spark, Kafka, Hive etc.
    • Deep understanding of lambda, kappa architecture, Data mesh and ability to evaluate the pros and cons of each.
    • Experience with NoSQL datastores like Cassandra, Elasticsearch, DynamoDB etc.
    • Experience in building streaming pipelines using Kafka and/or Spark.
    • Proven skills in designing, tuning, and optimizing scalable, highly available distributed systems
    • Strong understanding of software engineering principles and fundamentals including data structure
    • Experience of working with API s and integrating multiple applications together
    • Proficient and hands on Python and Scala/Java.
    • Experience in modern engineering agile development practices and technologies including DevOps concepts, CI/CD, cloud native development, GitHub and more
    • Data modeling experience to address scale and read/write performance
    • Excellent written and oral communication skills
    • Experience with AWS cloud architecture services including EC2, Data Lakes (S3), Data Warehouse serverless Computing (Lambda, Containers, Glue)
    • Experience with open-source orchestration tool like Apache Airflow
    ,

Keyskills :
etlinformaticadata modelingerwinunixbig dataagile development

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