Job Description
Job Description: PySpark Architect
Location: Bangalore,Pune,Kolkata
Experience Required: 7 to 13 Years
Role Overview:
We are seeking a highly skilled and motivated PySpark Manager to lead our data
engineering initiatives. The ideal candidate will have deep expertise in PySpark,
Hadoop, AWS, Teradata, Scala, and data visualization tools. You will be responsible for
designing, building, and managing large-scale data processing solutions while leading a
team of data engineers to deliver high-quality outcomes.
Key Responsibilities:
1. Leadership & Team Management:
Lead and mentor a team of data engineers, ensuring high performance and
professional growth.
Oversee project timelines, quality, and deliverables for multiple data initiatives.
2. Data Engineering & Development:
Design and implement robust data pipelines and workflows using PySpark and
Hadoop.
Optimize performance and scalability of big data solutions for complex data sets.
Develop and integrate solutions with AWS services for cloud-based data processing.
3. Technical Expertise:
Leverage expertise in PySpark, Hadoop, and Scala to solve complex technical
challenges.
Work with Teradata for large-scale data warehousing solutions.
Utilize data visualization tools (e.g., Tableau, Power BI) to provide insights and
reporting solutions.
4. Stakeholder Collaboration:
Collaborate with cross-functional teams, including business stakeholders and product
managers, to understand requirements and deliver solutions.
Provide thought leadership on best practices in big data technologies and architecture.
Required Skills & Qualifications:
Technical Expertise:
Proficiency in PySpark, Hadoop, AWS (S3, Glue, EMR, Redshift), and Teradata.
Hands-on experience with Scala for data engineering tasks.
Familiarity with data visualization tools like Tableau, Power BI, or similar platforms.
Experience:
713 years of experience in data engineering, with a focus on big data technologies.
Proven track record of managing end-to-end data engineering projects and leading
teams.
Educational Background:
Bachelor's or Master's degree in Computer Science, Information Technology, or a
related field.
Soft Skills:
Strong analytical and problem-solving skills.
Excellent communication and stakeholder management abilities.
Ability to work in a fast-paced, dynamic environment.
Preferred Skills:
Certification in AWS or related big data tools.
Experience in real-time data streaming platforms like Kafka.
Knowledge of DevOps practices, including CI/CD pipelines and infrastructure as code.
Requirements
Talent Worx is a growing services & recruitment consulting firm, we are hiring for our client which is a Global and leading provider of financial intelligence, data analytics, and AI-driven solutions, empowering businesses worldwide with insights for confident decision-making. Join to work on cutting-edge technologies, drive digital transformation, and shape the future of global markets.
Qualification
Bachelor's Degree
Key skill Required
- Architecture
- AWS
- Data Analytics
- Data Engineering
- Team Management
- Data Processing
- CI/CD
- Analytics
- Big Data
- Collaboration
- Communication
- Computer Science
- Consulting
- Data Pipelines
- Data Visualization
- Design
- Development
- Digital Transformation
- Dynamic Environment
- Highly Skilled
- Infrastructure
- Infrastructure as Code
- Intelligence
- Leadership
- Management
- Power BI
- Professional Growth
- Proven Track Record
- Pyspark
- Recruitment
- Reporting
- Scalability
- Science
- Soft Skills
- Stakeholder Management
- Thought Leadership
- Visualization
