Data Architect

Calsoft

Pune City

On-site

INR 6,567,425 - 10,507,880

Full time

14 days+

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Job summary

A leading company in Pune is seeking a Data Architect with over 12 years of experience to design and oversee Data Engineering solutions. The ideal candidate will have extensive knowledge in big data technologies, cloud architecture, and data governance, contributing to high-impact projects that drive business growth with innovative technology. The role involves collaboration across teams to manage data quality and ensure effective solution deployment.

Qualifications

  • 12+ years of experience in Data Engineering and Analytics.
  • Proficiency in various programming languages and tools.
  • Strong communication and consulting skills.

Responsibilities

  • Design and develop end-to-end Data Engineering and Analytics solutions.
  • Supervise the data acquisition process and manage data quality.
  • Provide technical design and support for APIs and data models.

Skills

Big data technologies and analytics
Programming languages (Python, Java, Spark)
Databases (on-prem and Cloud)
Cloud-based architecture
Data Governance & Data Quality Management
Data visualization tools (Matplotlib, Seaborn)
Performance optimization and query tuning
Knowledge of AI and ML

Tools

ETL and Data Visualization tools (Talend, Tableau, Power BI)

Job description

Direct message the job poster from Calsoft

Strategic Leadership Hiring Expert ||Leaders & Influencer's Who Persistent in Business Growth with Emerging Technology Stack Can Connect with me ||…

Data Architect

Qualifications:

12+ years of experience.

Skills:

  • Big data technologies and analytics: Majority of Hadoop, Hive, Cassandra, MDM, Data Lakes, Streaming data management and Analytics, Spark, Kafka, Redis, Databricks etc.
  • Proficiency in programming languages such as Python, Java, Spark and associated libraries and frameworks.
  • Hands-on and proficient in Databases (on-prem and Cloud), Messaging Apps, API Development and libraries.
  • Very good knowledge of cloud-based architecture, APIs, frameworks for Data Engineering and Analytics.
  • Knowledge of Data Governance & Data Quality Management, Metadata & Lineage Management,
  • Exposure to enterprise level Data migration, Data Warehousing and DB modeling.
  • Good understanding of Microservices and Test-Driven development.
  • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn).
  • Python libraries for API development e.g. FastAPI, Flask, Django.
  • Expertise standard ETL and Data Visualization tools like Talend, Tableau, Power BI etc.
  • Expert in performance optimization and query tuning.
  • Working knowledge on AI and ML including concepts in NLP, Computer Vision and breadth of ML algorithms, DL frameworks.
  • Good knowledge of Gen AI based tools and frameworks.

Role Description:

  • 1. Play a role of solution architect/consultant for end-to-end Data Engineering and Analytics solutions including data, technology infrastructure and models.
  • 2. Design and development of solutions according to the business objective.
  • 3. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the solutions in the real world
  • 4. Verifying data quality, and/or ensuring it via data cleaning
  • 5. Supervising the data acquisition process if more data is needed
  • 7. Work with the technology team to plan, execute, and deliver Data Engineering Product based projects. Contribute towards the best practices regarding handling the projects.
  • 8. Provide technical design, implementation, and support services around the creation of APIs, Models and Integration Pipelines.
  • 9. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools
  • 10. Environments Understanding of the auxiliary practical concerns in production systems.
  • 11. Strong communication, presentation and consulting skills, including technical writing skills and the ability to listen and understand client issue.
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering, Consulting, and Information Technology
  • Industries
    IT Services and IT Consulting and Software Development

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