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About careerzynith
careerzynith is a global leader in innovative retail technology, data‑driven decision making, and next‑generation analytics. With a heritage of transforming raw information into actionable insight, careerzynith empowers millions of customers worldwide to enjoy personalized experiences, seamless shopping journeys, and secure transactions. Our mission is to harness the power of big data to create smarter, faster, and more intuitive solutions that shape the future of commerce. As a remote‑first organization, careerzynith embraces flexibility, diversity, and a collaborative culture that encourages every employee to bring their unique perspective to the table.
Role Overview
Position Summary
careerzynith is seeking a visionary Lead Big Data Engineer to join our Remote Data Science & Engineering team. This full‑time, remote‑first position offers a competitive rate of $28 per hour and provides the opportunity to design, build, and scale cutting‑edge data platforms that power critical business functions such as merchandising, supply chain optimization, fraud detection, and personalized marketing. As the technical champion of large‑scale data initiatives, you will guide cross‑functional teams, translate complex business requirements into robust data architectures, and ensure that our data pipelines are reliable, performant, and future‑proof.
Key Responsibilities
- Architectural Leadership: Define and evolve the end‑to‑end data architecture, ensuring alignment with careerzynith’s strategic objectives and industry best practices.
- Platform Development: Design, develop, and maintain scalable big‑data solutions using Hadoop, Spark, Flink, NoSQL stores, and emerging cloud‑native technologies.
- Data Pipeline Engineering: Build robust ETL/ELT pipelines that ingest, transform, and deliver petabyte‑scale datasets with high reliability and low latency.
- Collaboration & Guidance: Partner with product owners, data scientists, analysts, and operations teams to translate business needs into technical specifications and provide mentorship to junior engineers.
- Performance Optimization: Conduct root‑cause analysis, tune cluster configurations, and implement caching strategies to maximize throughput and minimize cost.
- Data Governance & Quality: Implement data validation, lineage, and security controls to ensure compliance with internal policies and external regulations.
- Dashboard & Reporting Enablement: Enable self‑service analytics by delivering well‑documented data models, APIs, and interactive dashboards for business stakeholders.
- Innovation & Continuous Improvement: Stay abreast of emerging technologies, evaluate their relevance, and pilot new solutions that can give careerzynith a competitive edge.
- Documentation & Knowledge Sharing: Produce clear technical documentation, run internal workshops, and foster a culture of shared learning across distributed teams.
Essential Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, or a related discipline (or equivalent professional experience).
- Minimum 5 years of hands‑on experience designing and implementing large‑scale data platforms.
- Proficiency in at least one programming language such as Java, Scala, or Python.
- Deep expertise with Hadoop ecosystem components (HDFS, YARN, MapReduce, Hive, Pig) and modern big‑data processing frameworks (Spark, Flink).
- Experience working with NoSQL databases (Cassandra, HBase, MongoDB) and columnar stores (Druid, Parquet, ORC).
- Strong understanding of data modeling, schema design, and data warehousing concepts.
- Demonstrated ability to lead technical discussions, influence architectural decisions, and mentor engineering teams.
- Excellent problem‑solving skills, with a track record of delivering production‑grade solutions under tight timelines.
Preferred Qualifications & Skills
- Master’s degree or advanced certifications in data engineering, cloud architecture, or related fields.
- Hands‑on experience with cloud platforms (AWS, Azure, GCP) and managed services such as EMR, Dataproc, or Redshift.
- Familiarity with containerization (Docker, Kubernetes) and infrastructure‑as‑code tools (Terraform, CloudFormation).
- Knowledge of streaming technologies (Kafka, Kinesis, Pulsar) and real‑time analytics pipelines.
- Exposure to machine‑learning pipelines and collaboration with data‑science teams.
- Strong communication skills, capable of articulating complex technical concepts to non‑technical audiences.
- Experience working in a fully remote, globally distributed environment.
Core Competencies & Technical Skills
- Analytical Thinking: Ability to dissect large, ambiguous problems and devise clear, data‑driven solutions.
- Leadership & Influence: Proven track record of guiding cross‑functional teams and championing best practices.
- Collaboration: Comfortable partnering with product, business, and operations stakeholders across time zones.
- Adaptability: Thrive in fast‑moving environments, quickly adopting new tools and methodologies.
- Quality Focus: Commitment to building reliable, maintainable, and well‑documented code.
- Security Awareness: Understanding of data privacy, encryption, and compliance requirements (e.g., GDPR, CCPA).
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Lead Big Data Engineer, you will have access to:
- Mentorship programs with senior architects and industry thought leaders.
- Annual learning stipend for conferences, certifications, and online courses.
- Opportunities to lead high‑visibility projects that directly impact global business outcomes.
- Clear career pathways toward senior architect, data platform director, or product leadership roles.
- Cross‑functional rotations that broaden your expertise across analytics, AI, and product engineering.
Work Environment & Culture at careerzynith
Our remote‑first culture is built on trust, autonomy, and inclusion. careerzynith celebrates diversity and encourages every team member to bring their authentic self to work. Key cultural pillars include:
- Flexibility: Choose your own work hours within a 40‑hour week, with the freedom to work from any location that suits you.
- Collaboration: Regular virtual coffee chats, team‑wide hackathons, and open‑door video meetings keep the sense of community alive.
- Innovation: A “fail fast, learn fast” mindset empowers you to experiment with new technologies without fear.
- Well‑Being: Comprehensive mental‑health resources, wellness allowances, and ergonomic home‑office support.
- Recognition: Peer‑to‑peer recognition programs and quarterly awards celebrate outstanding contributions.
Compensation, Benefits & Perks
careerzynith offers a competitive hourly rate of $28, complemented by a robust benefits package that includes:
- Health, dental, and vision insurance with multiple plan options.
- Retirement savings plan with company matching contributions.
- Generous paid time off, parental leave, and holiday schedules.
- Professional development budget and tuition reimbursement.
- Technology stipend for home‑office equipment, high‑speed internet, and software licenses.
- Employee assistance program (EAP) and access to counseling services.
- Performance‑based bonuses and stock‑option opportunities for eligible employees.
Application Process & Equal Opportunity
careerzynith is committed to creating an inclusive hiring experience. All applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. We provide reasonable accommodations throughout the recruitment process for candidates with disabilities, in accordance with the Americans with Disabilities Act (ADA). If you require assistance, please let us know.
Join careerzynith Today
If you are passionate about building world‑class data platforms, love solving complex problems at scale, and thrive in a collaborative remote environment, we want to hear from you. Take the next step in your career and help shape the future of data‑driven commerce at careerzynith.
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