Lead Data Engineer

Anblicks; Dallas (TX); On-site; USD 100,000 - 168,000; Full time

Job summary

An established industry player is seeking a skilled Data Engineer to drive innovative solutions in data engineering. This role emphasizes collaboration, technical expertise, and mentorship within a dynamic team. The ideal candidate will leverage their knowledge in data warehouse design, SQL, and Python to enhance engineering practices and influence stakeholders. With a focus on cloud platforms and backend technologies, this position offers the chance to make a significant impact on business outcomes. Join a forward-thinking company that values technical excellence and offers a supportive environment for professional growth.

Benefits

Medical Insurance

Vision Insurance

Paid Paternity Leave

Disability Insurance

401(k)

Qualifications

• 4+ years of experience in data engineering with expertise in data warehouse design.
• Proficiency in SQL scripting and advanced programming skills in Python.

Responsibilities

• Drive strategy around solutions and execute across Cloud and end-to-end solutions.
• Collaborate to deliver on business needs impacting customers' lives.

Skills

Data Engineering

Data Warehouse Design

SQL Scripting

Python Programming

APIs

Microservices

Spark

Kafka

Cloud Platforms

Data Governance

Education

Bachelor's Degree in Computer Science

Tools

SQL Server Management Studio

Snowpark

DataStage

Talend

DataBricks

Unix/Linux

Job description

Direct message the job poster from Anblicks

· Drive strategy around solutions, solve complex problems, and successfully execute across the Cloud, end-to-end solutions, and more.

· Be a deep technical expert that helps accelerate the adoption of best engineering practices, while maintaining knowledge of industry innovations, trends, and practices.

· Leverage business and domain knowledge to interpret and translate business requirements into architecture and technology plans.

· Collaborate as a visionary to deliver on business needs that directly impact customers' lives.

· Act as a role model and mentor, coaching and enhancing the technical skills of the engineering and product teams.

· Serve as an evangelist internally and externally, elevating the engineering community and establishing yourself as a go-to resource on specific technologies and capabilities.

· Contribute to the development of key frameworks and components of solutions, ensuring technical excellence.

· Balance immediate and long-term technical impacts, guiding the organization in execution.

· Communicate effectively with and influence stakeholders across all levels of the enterprise.

· Operate as a trusted advisor in a specific technology, platform, or capability domain, shaping use cases and implementation strategies.

· Design and implement benchmarks to measure software performance and recommend technology choices.

Required Qualifications:

· Bachelor's Degree or equivalent in computer science, Information Technology, or related field.

· 4+ years of experience in data engineering.

· Expertise in data warehouse design, data modeling, and ETL processes.

· Proficiency in SQL scripting and tuning.

· Advanced programming skills in Python.

· Experience with APIs, Microservices, Spark, and Kafka.

· Familiarity with cloud platforms like Snowflake, Azure, and GCP.

· Deep hands-on technical expertise in backend technologies such as SQL Server Management Studio, Snowpark, DataStage, Talend, DataBricks, Unix/Linux.

· Understanding of IT concepts and methodologies.

· Experience with enterprise-level data governance.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology, Engineering, and Design

Industries

• IT Services and IT Consulting, Financial Services, and Entertainment Providers

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Inferred from the description for this job

Medical insurance

Vision insurance

Paid paternity leave

Disability insurance

401(k)

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