Tech Lead Data Engineering at Qode

Arlington, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

27 May, 26

Salary

0.0

Posted On

27 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Informatica PowerCenter, IICS, Python, Teradata, Google BigQuery, GCP, Dataflow, Cloud Storage, Cloud Composer, Airflow, ETL Development, Data Modeling, SQL Optimization, Stakeholder Management, Team Leadership, Problem Solving

Industry

Software Development

Description

RoleLooking for a seasoned Tech Lead with strong hands-on expertise in Data Engineering, ETL tools (Informatica) and Cloud platforms. The ideal candidate will lead the design, development and delivery of large-scale data pipelines and conversion initiatives, working closely with cross-functional teams Responsibilities· Lead end-to-end data engineering drive and manage Informatica-based data conversion and migration projects· Collaborate with business stakeholders to translate data requirements into scalable technical solutions· Ensure data quality, performance optimization and best practices across pipelines· Mentor and guide junior engineers within the team· Evaluate and adopt emerging technologies including AI/ML tooling where applicable· Work closely with SME, analysts and product teams on delivery. MANDATORY SKILLS· Informatica PowerCenter / IICS — Strong hands-on experience in ETL development, mapping design and data conversion projects· Python — Proficient in data engineering, scripting, automation and pipeline development· Teradata — Experience in data warehousing, SQL optimization and working with large-scale Teradata environments· Google BigQuery — Hands-on experience in BigQuery data modeling, query optimization and large dataset handling· GCP (Google Cloud Platform) — Experience with GCP services such as Dataflow, Cloud Storage and Cloud Composer/Airflow. SOFT SKILLS· Strong communication and stakeholder management· Ability to lead teams and drive delivery independently· Problem-solving mindset with attention to detail GOOD TO HAVE· SSIS / KNIME — Exposure to additional ETL/data integration tools· Understanding of Prompt Engineering and working with LLMs (Large Language Models)· Experience integrating AI/GenAI capabilities into data workflows or pipelines· Awareness of responsible AI practices

Responsibilities

The role involves leading the end-to-end data engineering drive, managing Informatica-based data conversion and migration projects, and collaborating with business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include ensuring data quality, optimizing performance, and mentoring junior engineers.