
Senior Technical Lead
2 days ago
Imagine working in a team that pushes the boundaries of digital transformation and operational efficiencies. As a Lead Data Engineer, you will play a vital role in driving technology innovation and product development for our organization.
The technology hub is a state-of-the-art facility where we develop new capabilities in data science, data analytics, eCommerce, automation, cloud computing, and information security. Our team works collaboratively to accelerate business strategy through strategic solutions.
Job Responsibilities- We are looking for an experienced Lead Data Engineer who can collaborate with Product owners/managers to understand business needs.
- The ideal candidate will design technical details of data engineering jobs/processes to fulfill business needs.
- They will lead sessions with data engineers and provide necessary guidance to solve technical challenges.
- Developing new and/or enhancing existing data processing components will be key responsibilities.
- The successful candidate will actively contribute towards setting up and refining data engineering best practices.
- They will help data engineers adhere to coding standards, best practices, etc. and produce production deployable code that is robust, scalable and reusable.
- Supporting and troubleshooting the data environments, tuning performance, etc. will also be required.
- Documenting technical artifacts for developed solutions will be essential.
- Building sustainable relationships with multiple constituent groups will be a crucial aspect of this role.
- A bachelor's degree in computer science, data science, information science or related field, or equivalent work experience.
- 8-10 years of experience in a Data Engineering role.
- Advanced SQL queries, scripts, stored procedures, materialized views, and views.
- Focus on ELT to load data into database and perform transformations in database.
- Ability to use analytical SQL functions.
- Snowflake experience a plus.
- Experience building dimensional Data marts, Data lakes and warehouses.
- Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift).
- Experience with DevOps models utilizing a CI/CD tool.
- 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.
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