AWS/Pyspark Lead Developer

Title - AWS PySpark Lead

Location - Onsite (Hybrid) - South SFO, CA

Does solving complex business problems and real-world challenges interest you? Do you enjoy seeing the impact your contributions make on a daily basis? Are you passionate about using data analytics to provide game changing solutions to the Global 2000 clients? Do you thrive in a dynamic work environment that constantly pushes you to be the best you can be and more? Are you ready to work with smart colleagues who drive for excellence in everything they do?

If you possess a solutions mindset, strong architecting skills, and commitment to be part of a tremendous journey, come join our growing, global team. See what Saama can do for your career and for your journey.

Key relationships:

• All project team members at onsite & offshore
• Enterprise Architecture Teams
• Data Modelers
• Business Teams
• Upstream & Downstream Application teams
• PMO Teams - Internal & Client
• Operations support teams at Onsite and Offshore

What We Value

• Integrity: doing the right thing
• Solutions: solving core, complex business challenges
• Collaboration: working as one team
• Innovation: changing the game
• Transparency: communicating openly
• Enjoy & Celebrate: having fun

Competencies:

• Self-starter who gets results with minimal support and direction in a fast-paced environment.
• Takes initiative; challenges the status quo to drive change.
• Learns quickly; takes smart risks to experiment and learn.
• Works well with others; builds trust and maintains credibility.
• Planful: identifies and confirms key requirements in dynamic environments; anticipates tasks and contingencies.
• Communicates effectively; productive communication with clients and all key stakeholder's communication in both verbal and written communication.
• Stays the course despite challenges & setbacks. Works well under pressure.
• Strong analytical skills; able to apply inductive and deductive thinking to generate solutions for complex problems.

Requirement

• Experience to migrate on-premises Database to AWSCloud
• Experience to provide Aws services implementation best practices.
• Bachelor's or Master's degree in computer science or software engineering
• 8+ years of programming as Software Engineer or Data Engineer with experience in ETL tools.
• 2+ years of advanced experience in PySpark
• Good experience in AWS Cloud services like EC2, S3, Lambda, EMR, Glue, Athena
• Experience building and optimizing big data pipelines using Spark or other similar technologies
• Experience with relational SQL and NoSQL databases, including Postgres
• Understanding of how to design robust data workflows including optimization and user experience
• Provide support in architecting solution for business problem
• Strong analytical and problem-solving skills
• Excellent oral and written communication skills
• Guide and oversee offshore team.

Education and Work Experience

• Masters or Bachelor's degree in Computer, IT, Software or related field required

Work Environment

This job operates in a professional office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers.

Physical Demands

This position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required.

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

EEO

Saama Technologies, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.