Pyspark Jobs in Gurgaon

Job Description: We are seeking a Data Engineer experience in data and analytics, proficient in big data technologies, data architecture, and customer-focused solutions. The ideal candidate will design and implement data pipelines, data lakes, and visualization solutions to create business value. Software Requirements: AWS Redshift Kubernetes Spark Python SQL DBT Dataiku Overall Responsibilities: Design and implement data pipelines, data lakes, and visualization solutions to create business value. Develop and maintain big data solutions using technologies like AWS Redshift, Kubernetes, Spark, Python, SQL, DBT, and Dataiku. Apply best practices in data architecture, modeling, and metadata management. Analyze and troubleshoot complex data issues, ensuring timely resolution. Collaborate with stakeholders to understand data requirements and deliver customer-focused solutions. Category-wise Technical Skills: Big Data Technologies: Proficiency in AWS Redshift, Kubernetes, Spark, Python, complex SQL, DBT, and Dataiku. Data Architecture & Modeling: Strong understanding of data architecture, modeling, and metadata management. Experience in designing and managing data pipelines and data lakes. Data Analysis & Troubleshooting: Excellent data analytical and troubleshooting skills. Ability to analyze and resolve complex data issues in a timely manner. Experience: 6-8 years of experience in data and analytics. Proven track record of developing and maintaining big data solutions. Day-to-Day Activity: Design, develop, and implement data pipelines and data lakes. Maintain and optimize big data solutions using various technologies. Apply best practices in data architecture and modeling. Analyze and troubleshoot data issues to ensure data integrity and availability. Collaborate with stakeholders to gather requirements and deliver data solutions. Stay updated with emerging trends in data and analytics. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in big data technologies and data engineering are a plus. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Customer-focused approach with the ability to understand and meet stakeholder needs. Attention to detail and strong organizational skills. Ability to work independently and as part of a team. S YNECHRON S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Qualification : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

Department Overview: Enterprise Data Governance & Platforms (EDGP) is a part of Enterprise Digital and Data Solutions (EDDS) and focuses on driving business growth and improving customer experience. EDGP achieves this by ensuring robust enterprise-wide data policies, governance, and a data-driven culture. It develops digital and data platforms that allow users to leverage enterprise-wide data capabilities and foster insightful customer relationships. Role Overview: The Product Owner Enterprise Data Platforms plays a crucial role in translating product strategies into detailed requirements for development by engineering teams. This includes managing product development for key enterprise data products such as the Big Data Platform (Cornerstone) and Google Cloud Platform (Lumi). The role requires collaboration with cross-functional teams to deliver innovative solutions while balancing business and technical requirements. Key Responsibilities: Product Development & Strategy Execution: Lead the product development strategy for key data platforms (Cornerstone & Lumi), ensuring they align with business objectives and the enterprise data strategy. Requirements Translation & Collaboration: Work with multiple stakeholders to convert product strategy into actionable requirements, including design, architecture, and prioritization across scrum teams. Mentoring & Leadership: Mentor product owners in eliciting user needs and aligning them with the product vision, while providing leadership and guidance to engineering teams. Solution Delivery & Feature Prioritization: Develop use cases, assess value, prioritize features and user stories, and ensure alignment with the product strategy. Program Management: Manage blocking issues, escalate problems when necessary, anticipate and balance business needs versus technical constraints, and resolve risks or changes associated with the Product Backlog. Continuous Improvement: Improve processes for operational excellence and ensure scalable solutions for data platforms. Collaboration with Cross-functional Teams: Work closely with engineers, architects, business partners, and governance teams to ensure the product meets business needs and technical requirements. Market & Tool Evaluation: Evaluate external tools and capabilities in data management, assessing their applicability to the platform. Required Qualifications: Education: Bachelor s or Master s degree in Information Technology, Computer Science, Information Security, Mathematics, Statistics, MBA, or a relevant field. Experience: 5+ years of experience in delivering business solutions across various platforms and technologies, including GCP, Big Data, PySpark, Hive, Scala, and Python. Technical Knowledge: Strong understanding of databases, SQL, data movement, APIs, and BI reporting. Agile Mindset: Experience working within a Scaled Agile Framework with an ability to adapt to new opportunities and changes. Cloud & Data Product Experience: Familiarity with Google Cloud Platform (GCP) and cloud services. Experience in data product development and implementation is preferred. Problem-Solving & Communication Skills: Strong communication, product management, and problem-solving abilities. Ability to think abstractly and address ambiguous or under-defined problems. Benefits & Perks: Competitive Compensation: Base salary with bonus incentives. Health & Wellness Support: Comprehensive medical, dental, vision, life insurance, and disability benefits (dependent on location). Flexible Work Arrangements: Hybrid, onsite, or virtual work options, depending on the role and business need. Paid Parental Leave: Generous paid parental leave policies (dependent on location). Wellness Programs: Free access to global on-site wellness centers, confidential counseling support, and the Healthy Minds program. Career Development: Opportunities for career development and continuous training. Equal Opportunity Employer: American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Qualification : Bachelors or Masters degree in Information Technology, Computer Science, Information Security, Mathematics, Statistics, MBA, or a relevant field.