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Senior Data Architect

2 weeks ago

Noida, Uttar Pradesh, India beBeeDataEngineer Full time US$ 1,20,000 - US$ 2,50,000
Job Title

Principal Consultant-Data Engineer Job Description

We are seeking a highly skilled and experienced Principal Consultant-Data Engineer to join our team.

The successful candidate will have a strong background in data engineering, with expertise in designing, implementing, and maintaining large-scale data warehouses and data pipelines.

Responsibilities
  • Design and implement scalable data architectures
  • Develop and maintain ETL/ELT processes using dbt and Apache Airflow
  • Collaborate with cross-functional teams to identify requirements and deliver trusted results
  • Build processes supporting data transformation, metadata, dependency, and workload management
  • Work closely with product owners to identify business requirements and develop solutions
Qualifications We Seek in You
  • Minimum Qualifications:
    • Bachelor's degree in computer science, information technology, or a related field
    • IT experience with a major focus on data warehouse/database-related projects
  • Preferred Qualifications/Skills:
    • Experience in data warehousing, data modeling, and building data engineering pipelines
    • Well-versed in data engineering methods such as ETL and ELT techniques through scripting and/or tooling
    • Strong analytical skills related to working with structured, semi-structured, and unstructured datasets
    • Collaborating with product owners to identify requirements, define desired and deliver trusted results
    • Building processes supporting data transformation, data structures, metadata, dependency, and workload management
    • Hands-on experience with SQL database design. Plus, Python
    • Demonstrably deep understanding of SQL (level: advanced) and analytical data warehouses (Snowflake preferred)
    • Demonstrated ability to write new code i.e., well-documented and stored in a version control system (we use GitHub & Bitbucket)
    • Extremely talented in applying SCD, CDC, and DQ/DV framework
    • Familiar with JIRA & Confluence
    • Must have exposure to technologies such as dbt, Apache airflow, and Snowflake
    • Desire to continually keep up with advancements in data engineering practices
    • Knowledge of AWS cloud, and Python is a plus
    • Must have exposure to technologies such as dbt, Apache Airflow, and Snowflake
    • Experience in other data platforms: Oracle, SQL Server, MDM, etc
    • Expertise in writing SQL and database objects - Stored procedures, functions, and views. Hands-on experience in ETL/ELT and data security, SQL performance optimization and job orchestration tools and technologies e.g., dbt, APIs, Apache Airflow, etc.
    • Experience in data modeling and relational database design
    • Well-versed in applying SCD, CDC, and DQ/DV framework
    • Demonstrate ability to write new code i.e., well-documented and stored in a version control system (we use GitHub & Bitbucket)
    • Good to have experience with Cloud Platforms such as AWS, Azure, GCP and Snowflake
    • Good to have strong programming/scripting skills (Python, PowerShell, etc.)
    • Experience working with agile methodologies (Scrum, Kanban) and Meta Scrum with cross-functional teams (Product Owners, Scrum Master, Architects, and data SMEs)
    • Excellent written, oral communication and presentation skills to present architecture, features, and solution recommendations Global functional product portfolio technical leaders (Finance, HR, Marketing, Legal, Risk, IT), product owners, functional area teams across levels
    • Global Data Product Portfolio Management & teams (Enterprise Data Model, Data Catalog, Master Data Management)
    Key Skills:
    • SQL database design
    • Python
    • Snowflake
    • dbt
    • Apache Airflow
    • Cloud Platforms (AWS, Azure, GCP)
    • Agile Methodologies (Scrum, Kanban)
    • Data Modeling and Relational Database Design
    • ETL/ELT and Data Security