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ETL Lead Data Enginner

Argyle Infotech

ETL Lead Data Engineer

Location: Plainsboro, NJ (Hybrid) (Locals)

Skills: ETL, Informatica PowerCenter, IICS, Data Warehousing, Snowflake, business stakeholders

Preferred Qualifications:

• SnowPro certification is highly desirable.

Key Expectations:

• Very strong SQL and Informatica (PowerCenter & IICS) capabilities

• Deep understanding of Pharma datasets and commercial analytics

• Proven consultative approach with ability to drive thought leadership and business impact

• Excellent stakeholder management and presentation skills

About the Role:

We are seeking a highly skilled and consultative ETL Lead Data Engineer with deep experience in Data Warehousing and Informatica to lead data integration initiatives for a Life Science practice. This role is ideal for someone who not only excels technically but thrives as a thought partner to business stakeholders, helping to uncover opportunities for value creation through data.

Key Responsibilities:

• Lead the design, development, and optimization of ETL workflows using Informatica PowerCenter and IICS

• Architect high-performance, scalable solutions on Snowflake Data Warehouse

• Design robust data models with strong understanding of facts and dimensions

• Act as a strategic advisor to business stakeholders, using data to drive insights and business outcomes

• Partner with line-of-business leaders to identify and prioritize opportunities where data engineering can deliver measurable value

• Lead a team of data engineers through complex integration efforts with a problem-solving attitude

• Translate unstructured problems into structured, scalable data solutions

• Deliver high-quality business presentations and solution documentation tailored to technical and executive audiences

• Ensure alignment between technical delivery and business value realization

• Optimize performance through effective data modeling, partitioning, and indexing.

• Lead data migration and integration projects to move legacy data systems to Snowflake.

• Collaborate with business analysts, data engineers, and stakeholders to define requirements and deliver data solutions.

Vacancy posted 1 day ago
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