Skill: Databricks + Pyspark
Experience: 6 to 9 years
Location: AIA Kochi
Job Summary
Join our multinational corporation as a Developer focusing on PySpark and Python to design and implement scalable data solutions using Databricks platforms. This role demands expertise in managing workflows and SQL in Databricks to support data analytics initiatives in a hybrid work environment during daytime shifts with no travel requirements.
Responsibilities
- Develop test and deploy robust PySpark scripts and Python code to process large-scale datasets efficiently in conjunction with cloud-based data lake infrastructure.
- Design and implement Databricks Workflows to automate data pipeline orchestration ensuring timely data availability for analytics and reporting purposes.
- Create optimized SQL queries using Databricks SQL tools to extract transform and load data while maintaining accuracy and performance.
- Utilize Databricks CLI to manage workspace resources automate routine tasks and enhance productivity throughout the development lifecycle.
- Collaborate closely with data engineers and data scientists to integrate new data sources and refine existing pipelines for meeting evolving business requirements.
- Troubleshoot and resolve performance bottlenecks within data processing workflows by analyzing runtime metrics and applying optimization techniques.
- Apply data validation and quality assurance checks within pipelines to uphold data integrity and compliance with organizational standards.
- Participate in code reviews and contribute to maintaining coding standards documentation and best practices for sustainable development.
- Continuously monitor system activity and usage to proactively identify risks or opportunities for improvements in data infrastructure.
- Support cross-functional teams by delivering data-driven insights and technical expertise to accelerate the achievement of strategic goals.
- Adhere to internal security protocols and data privacy regulations while handling sensitive information throughout the data lifecycle.
- Engage in knowledge sharing and collaborative learning sessions to foster an innovative and inclusive team environment.
- Communicate progress and technical information effectively to stakeholders ensuring transparency and alignment with project timelines.
Qualifications
- Possess a minimum of two years hands-on experience developing data pipelines predominantly using PySpark and Python programming languages.
- Demonstrate proficiency with Databricks Workflows to construct and automate scalable ETL processes within cloud ecosystems.
- Show competence in writing complex queries using Databricks SQL to support advanced analytics use cases and data visualization efforts.
- Have practical skills in utilizing Databricks CLI for environment configuration and administrative operations.
- Exhibit understanding of distributed computing frameworks data architecture principles and best practices in data engineering.
- Hold good-to-have knowledge of additional big data tools and frameworks facilitating seamless integration across platforms.
- Adapt comfortably to a hybrid work model blending onsite collaboration and remote productivity with self-driven accountability.
- Operate primarily in daytime shift hours following company schedule demands without requirements for business travel.
- Communicate fluently in English to interact with global team members and stakeholders effectively.
Certifications Required
Databricks Certified Associate Developer for Apache Spark or equivalent certification preferred.
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Things to know before you apply
- Work authorization: Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
- Accommodations: If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
- AI in hiring: We use artificial intelligence (AI) tools to help us screen and assess applications more efficiently. Our team performs additional human review and ultimately decides who moves forward in our hiring process.
- Open position: Unless otherwise stated, this job posting is for an open position on our team.
- Language proficiency: We ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
- Inclusion: Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
