Lead Data Engineer
2 weeks ago
Job Description:
We are excited to announce an opening for Lead Data Engineer
Skills Required:
SQL, Python, Snowflake, ADF, ETL, Data Pipeline
Experience Range:
8 - 12 years
Job Description:
Duties and Responsibilities:
• Work closely with Product owners/managers to understand the business needs
• Collaborate with architects, data modelers and other team members to design technical details of data engineering jobs/processes to fulfillment business needs
• Lead sessions with data engineers and provide necessary guidance to solve technical challenges
• Develop new and/or enhance existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components
• Actively contribute towards setting up and refining data engineering best practices
• Help data engineers adhere to coding standards, best practices, etc. and produce production deployable code that is robust, scalable and reusable
• Support and troubleshoot the data environments, tune performance, etc.
• Document technical artifacts for developed solutions
• Good interpersonal skills; comfort and competence in dealing with different teams
within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships.
• Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills
• Familiar with Agile practices and methodologies
•Experience with Snowflake
Education Requirements Min / Preferred Education Level Description:
• Minimum 4 Year / Bachelor's Degree A bachelor's degree in computer science, data science, information science or related field, or equivalent work Years Of Experience
Experience Comments:
• 8-10 years of experience in a Data Engineering role
Knowledge, Skills, and Abilities:
• Advanced SQL queries, scripts, stored procedures, materialized views, and views (5+yrs experience)
• Focus on ELT to load data into database and perform transformations in database (5+yrs experience)
• Ability to use analytical SQL functions
• Experience building dimensional Data marts, Data lakes and warehouses. (5+ yrs
experience)
• Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data
modeling, analysis, programming – (3+ years' experience with one or more cloud
platforms)
• Experience with DevOps models utilizing a CI/CD tool (2+ yrs experience)
• Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)
• Talend, Apache Airflow or TWS, Azure Data Factory, and BI tools like Tableau preferred (3+ years experience with one or more)
• Analyze data models
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