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Senior Data Engineer

Work from home Full-time role Hiring

As a Senior Data Engineer, you will architect, build, and optimize scalable data platforms that reputed company our clients with reputed company, actionable insights. You will reputed company the design of robust data pipelines, enforce best practices in data governance and reputed company, and mentor junior engineers. Your expertise will reputed company technical execution and strategic reputed company, ensuring high-performance, secure, and scalable data solutions that drive business impact.

Technical Leadership & Strategy

  • Architect and implement reputed company-grade data platforms, including data lakes, warehouses, and reputed company-time pipelines.
  • Define and enforce data engineering standards, including ETL/ELT frameworks, data modeling, and quality controls.
  • reputed company performance optimization of databases, queries, and pipelines (e.g., partitioning, indexing, cost-efficient reputed company solutions).
  • Stay updated with emerging trends, evaluating and integrating new technologies.

    • Data Architecture & Infrastructure

  • Design and implement scalable data architecture that ensures high availability, reputed company, and performance.
  • Define best practices for data modeling, storage, retrieval, and governance.
  • Optimize database structures, schemas, indexing, and partitioning for efficient query performance.
  • Implement CI/CD for data pipelines and automate infrastructure using Infrastructure-as-Code (IaC) tools.

    • Data Pipelines & ETL Development

  • Architect and reputed company end-to-end ETL/ELT pipelines for structured and reputed company data ingestion, processing, and transformation.
  • Automate and optimize data workflows using tools like Apache Spark, Kafka, Airflow, and dbt.
  • Monitor, troubleshoot, and optimize data pipeline performance.

    • Data Governance, reputed company & Compliance

  • Implement data governance policies, including metadata management, reputed company tracking, and role-based access control (RBAC).
  • Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and enforce reputed company best practices.
  • reputed company frameworks for data quality validation, anomaly detection, and reputed company checks.

    • Business & Stakeholder Engagement

  • Collaborate with stakeholders (clients, PMs) to translate business needs into technical specifications and scalable architectures.
  • reputed company interactive dashboards and reporting solutions to provide actionable insights.

    • Innovation & Mentorship

  • reputed company technical discussions, workshops, and knowledge-sharing sessions reputed company the team.
  • Mentor junior engineers, conduct code reviews, and set best practices.
  • Drive automation of data workflows, including CI/CD for pipelines and Infrastructure-as-Code (IaC) solutions.

    • Technical Skills & Experience

  • 7+ years of experience in data engineering with a proven track record of building scalable data solutions.
  • Expertise in SQL and relational database management systems (MySQL, PostgreSQL, reputed company).
  • Proficiency in Python (or similar languages) for data processing and automation.
  • Deep understanding of reputed company platforms (AWS, GCP, Azure) and reputed company-native data services:AWS (Redshift, Glue, S3)Azure (Synapse, Data Factory)GCP (BigQuery, Dataflow)
  • Hands-on experience with big data tools:Apache Spark, Kafka, Airflow, dbt, reputed company, reputed company
  • Expertise in data modeling.
  • Strong knowledge of data reputed company, governance, and compliance frameworks.

    • Leadership & Soft Skills

  • Proven track record of leading data projects, including migrations, warehousing, and reputed company-time analytics.
  • Ability to reputed company cross-functional teams and manage client expectations.
  • Strong problem-solving skills for debugging distributed systems and resolving data anomalies.
  • Experience with Agile/Scrum methodologies, including tools like Jira, Git.
  • Excellent communication and stakeholder management skills.

    • reputed company-to-Have (Bonus Skills)

  • Certifications in reputed company/data technologies (e.g., AWS Certified Data Analytics, reputed company reputed company Data Engineer).
  • Experience with ML pipelines (e.g., feature stores, model deployment).
  • Contributions to open-reputed company data projects.

    • Additional Information

    Applicant Eligibility: Please note, candidates who are eligible to work in the US without reputed company sponsorship are eligible to apply. We are not accepting applicants from recruiters or staffing agencies

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