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GBIT (Global Bridge InfoTech Inc)

Lead Data Engineer With Asset Management

GBIT (Global Bridge InfoTech Inc), Richardson, Texas, United States, 75080

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Lead Data Engineer With Asset Management

Lead Data Engineer With Asset Management

Get AI-powered advice on this job and more exclusive features. GBIT (Global Bridge InfoTech Inc) provided pay range

This range is provided by GBIT (Global Bridge InfoTech Inc). Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range

$150.00/yr - $175.00/yr Direct message the job poster from GBIT (Global Bridge InfoTech Inc) Lead - Bench Sales/IT Recruitment at GBIT (Global Bridge InfoTech Inc)

Role: Lead-Data Engineer With Asset Management Full-Time Job Summary: We are looking for an experienced

Data Engineering to lead

and scale our data engineering team in designing, building, and maintaining robust data infrastructure and pipelines. Data Engineer Lead is responsible for designing, implementing, and managing data pipelines and architectures tailored to support AI and machine learning (ML) initiatives. This role will focus on enabling data-driven decision-making by ensuring high-quality, secure, and scalable data systems that align with the firms strategic goals. What youll do Architect and implement scalable data solutions using cloud platforms and modern data technologies. Lead the design, development, and optimization of scalable data pipelines for AI/ML projects. Collaborate with data scientists and AI teams to ensure efficient data processing and integration. Collaborate with data scientists, analysts, and business stakeholders to define data models and workflows. Oversee data quality initiatives, implementing validation rules and automated cleansing processes. Manage and mentor a team of data engineers, fostering a culture of innovation and continuous improvement. Evaluate and implement new data technologies to enhance our data engineering capabilities. Ensure compliance with data security standards and regulatory requirements in the financial sector. Analyze, review, and alter programs to improve efficiency or adapt to new requirements. Prepare documentation to describe program development, logic, coding, and corrections. What youll need Bachelors degree in information systems, Mathematics, Computer Science, or a related field. 12+ years of experience in data engineering, at least 5 years in a leadership role. Proficiency in programming languages like Python Proficiency in databases like Snowflake, PostgreSQL, Vector DB and SQL Server Proficiency in data processing tools like Snaplogic, DBT, Spark, Apache Airflow. Strong knowledge of cloud platforms (e.g., AWS, Azure) and Cloud Services. Strong knowledge of machine learning frameworks and algorithms. Solid understanding of data modeling, database management (SQL/NoSQL), and API development. Experience with data governance and quality management practices. Excellent communication skills to liaise between technical teams and business Familiarity with data visualization tools and BI platforms. Knowledge of asset management or financial services is highly desirable. Seniority level

Seniority level

Mid-Senior level Employment type

Employment type

Full-time Job function

Job function

Business Development, Design, and Engineering Industries

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