What are the responsibilities and job description for the Big Data Lead position at Starcom consulting limited?
Job Details
Job Description
Job Description
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**Job Title:** Big Data Lead
**Location:** Rutherford, New Jersey
**Position Overview:**
The Big Data Lead will oversee the design, development, and implementation of big data solutions, managing a team of data engineers and scientists. This role is critical in shaping the company s data strategy, ensuring that big data solutions align with business goals, and optimizing data processes for enhanced decision-making and performance.
**Key Responsibilities:**
- **Leadership and Team Management:**
& - Lead and mentor a team of data engineers, data scientists, and analysts.
& - Provide guidance on best practices in big data technologies and methodologies.
& - Foster a collaborative and high-performance work environment.
- **Big Data Strategy and Implementation:**
& - Develop and execute the company s big data strategy, aligning it with business objectives.
& - Design and implement scalable big data solutions using technologies such as Hadoop, Spark, and Kafka.
& - Oversee the architecture and development of data pipelines, data lakes, and data warehouses.
- **Data Architecture and Engineering:**
& - Architect and build data models and data integration processes to support business analytics and reporting.
& - Ensure data quality, accuracy, and integrity across all big data systems.
& - Optimize data processing and storage for performance and cost efficiency.
- **Project Management:**
& - Manage big data projects from inception to delivery, including planning, execution, and deployment.
& - Develop project plans, timelines, and resource allocations.
& - Monitor project progress, identify risks, and implement mitigation strategies.
- **Collaboration and Stakeholder Engagement:**
& - Work closely with business stakeholders to understand their data needs and provide actionable insights.
& - Collaborate with other departments to ensure seamless integration of big data solutions.
& - Communicate project status, issues, and outcomes to senior management and stakeholders.
- **Innovation and Best Practices:**
& - Stay current with industry trends and emerging technologies in big data and analytics.
& - Implement best practices for data management, data security, and data governance.
& - Evaluate and recommend new tools and technologies to enhance the company s big data capabilities.
**Qualifications:**
- **Education:**
& - Bachelor s degree in Computer Science, Data Science, Engineering, or a related field. Advanced degree or relevant certifications (e.g., AWS Certified Big Data - Specialty, Google Professional Data Engineer) is a plus.
- **Experience:**
& - 7-10 years of experience in big data engineering, data science, or a related field, with at least 3 years in a lead or managerial role.
& - Proven experience with big data technologies such as Hadoop, Spark, Kafka, and related tools.
- **Skills:**
& - Strong knowledge of big data architectures, data modeling, and data integration.
& - Proficiency in programming languages such as Python, Java, or Scala.
& - Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their big data services.
& - Excellent problem-solving skills with the ability to analyze complex data issues.
& - Strong project management skills, including experience with Agile methodologies.
& - Effective communication and leadership skills, with the ability to engage and influence stakeholders.
**Additional Requirements:**
- Ability to work independently and lead a team in a fast-paced environment.
- Strong analytical skills and attention to detail.
- Ability to adapt to changing priorities and manage multiple projects simultaneously.
**Why Join Us:**
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth and career advancement.
- A collaborative and innovative work environment in Rutherford, New Jersey.
**Application Process:**
To apply, please submit your resume and a cover letter detailing your relevant experience and qualifications to [application email or link].
[Company Name] is an equal opportunity employer and encourages candidates from all backgrounds to apply.
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