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Principal Data Engineer
4 weeks ago
Role / Job Title:
Principal Engineer
Experience required:
10+ years
Location:
Hyderabad / Ahmedabad
Job Type:
Full-Time
Job Overview
As a Principal Data Engineer at Anblicks, you will be at the forefront of driving our clients' data and analytics transformations. Your role involves designing and presenting cutting-edge data architectures, fostering client relationships as a trusted advisor, and delivering impactful data solutions that align with business objectives.
This role requires strong technical acumen, leadership skills, and a passion for driving data excellence across the organization.
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 Financial services, Insurance, Healthcare, Retail or Travel Hospitality 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 10 years of experience in Data Analytics, AI related fields.
- Strong experience architecting and designing end-to-end Data analytics solutions. Experience as a Data Solutions architect / Full stack Data Engineer or similar with either of cloud / analytics platform is required.
- Experience working in on-prem, Cloud (any of Azure, AWS, GCP)
- Strong understanding of data warehousing concepts, ML Engineering, AI Integration and best practices is required.
- Skilled in designing scalable and efficient data architectures
- Extensive Experience with either of the cloud data analytics platforms (Snowflake, Databricks, AWS, Azure): Proven track record of implementing and managing Data Cloud solutions, including setting up environments, configuring databases, and optimizing performance.
- Knowledge of machine learning and AI integration with data platforms.
- Experience working in SQL and Python for data manipulation and automation.
- Experience with Data Engineering, ETL/ELT tools, Data Visualization and processes. Experience working in any of the Data engineering tools
- Familiarity with any of the Data visualization tools.
- 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 migration / modernization from on-prem to Cloud from conception to delivery is preferred.
- Familiarity with data governance and security best practices.
- Experience with BI and data visualization tools such as Power BI, Tableau, or Looker.
