Inspire Brands Hyderabad Support Center
Location
Secunderabad | India
Job description
Job Summary:
We are looking for a Lead Data Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality rules, data storage etc.) for Azure cloud-based data platform. The candidate will require to possess strong technical, analytical, programming and critical thinking skills.
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
Knowledge 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
- Snowflake experience a plus.
- 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, Azure Data Factory
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