We are looking for a highly skilled Lead Data Engineer to join our innovations group, leading projects to build accelerators, Points of Views (POVs), Proof of Concepts (POCs), and research on emerging technologies.
Key Responsibilities
- Technical and Business Solutions Development: Lead & develop technical and business solutions for Data & Analytics Products
- Project Leadership: Lead multiple projects simultaneously, creating solutions, frameworks, and POCs to address emerging business solutions and leverage emerging technologies in data analytics.
- Architecture Vision: Present Data & Analytics architecture vision and solutions to stakeholders.
- Trusted Advisor: Position yourself as a Trusted Advisor to stakeholders by focusing on achieving their desired business outcomes.
- Innovation Partnership: Partner with the innovation team to drive repeatable frameworks, accelerators, and business point solutions for BFSI, Healthcare or Retail industry verticals.
- Value Demonstration: Demonstrate and communicate the value of Data & Platform throughout engagements, from demos to Proof of Concepts to workshops and design sessions.
- Hands-on Expertise: Maintain excellent hands-on abilities to design, build, and engineer solutions as needed, ensuring high performance and availability of data systems.
- Collaboration: Collaborate deeply with peer teams such as product marketing, sales etc. for activities such as creating product marketing material, website content, go to market plans for developed products/solutions.
Required Skills And Experience
- Minimum of 9 years of experience in data engineering or related fields.
- Proficient in SQL and Python for data manipulation and automation.
- Strong understanding of data warehousing concepts and best practices.
- Skilled in designing scalable and efficient data architectures
- Extensive Experience with Snowflake: Proven track record of implementing and managing Snowflake Data Cloud solutions, including setting up environments, configuring databases, and optimizing performance.
- Knowledge of machine learning and AI integration with data platforms.
- Experience with ETL/ELT tools and processes.
- Excellent problem-solving skills and the ability to troubleshoot complex data issues.
- Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders.
- Proven experience in leading small teams and managing projects from inception to delivery.
Prefered Skills
- Hands-on experience with other cloud data platforms, such as Databricks, AWS Redshift, Google BigQuery, or Azure Synapse.
- Experience with Apache Spark and other big data technologies.
- Familiarity with data governance and security best practices.
- Experience with BI and data visualization tools such as Power BI, Tableau, or Looker.
