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Lead Data Architect

Lead Data Architect

QuantiphiRepublic Of India, IN
3 days ago
Job description

Role : Senior Data Engineer

Experience Level : 4 to 7 Years

Work location : Mumbai, Bangalore, Trivandrum (Hybrid Only)

Required Skills :

  • Bachelor’s degree in Computer Science or similar field or equivalent work experience.
  • 3+ years of experience on Data Warehousing, Data Engineering or Data Integration projects.
  • Expert with data warehousing concepts, strategies, and tools.
  • Strong SQL background.
  • Strong knowledge of relational databases like SQL Server, PostgreSQL, MySQL.
  • Strong experience in GCP & Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function and

GCS

  • Good to have knowledge on SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS).
  • Knowledge of AWS and Azure Cloud is a plus.
  • Experience in Informatica Power exchange for Mainframe, Salesforce, and other new-age data sources.
  • Experience in integration using APIs, XML, JSONs etc.

    • In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract,

    transform, load) framework, data-warehousing and Data Lakes

  • Good understanding of SDLC, Agile and Scrum processes.
  • Strong problem-solving, multi-tasking, and organizational skills.
  • Highly proficient in working with large volumes of business data and strong understanding of database design and

    • implementation.

  • Good written and verbal communication skills.
  • Demonstrated experience of leading a team spread across multiple locations.
  • Work with business users and other stakeholders to understand business processes.
  • Ability to design and implement Dimensional and Fact tables
  • Identify and implement data transformation / cleansing requirements
  • Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data

    • from various systems to the Enterprise Data Warehouse

  • Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical

    • data definitions

  • Design, develop and maintain ETL workflows and mappings using the appropriate data load technique
  • Provide research, high-level design, and estimates for data transformation and data integration from source

    • applications to end-user BI solutions.

  • Provide production support of ETL processes to ensure timely completion and availability of data in the data

    • warehouse for reporting use.

  • Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate,

    • design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and

    data quality.

  • Work collaboratively with key stakeholders to translate business information needs into well-defined data

    • requirements to implement the BI solutions.

  • Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into

    • reporting & analytics.

  • Define and document the use of BI through user experience / use cases, prototypes, test, and deploy BI solutions.
  • Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers,

    • quality issues, and continuously validate reports, dashboards and suggest improvements.

  • Train business end-users, IT analysts, and developers.
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    Lead Data Architect • Republic Of India, IN

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