Assembly Global
Assembly Global
1.001 – 5.000 Angajați
MarketingMediaSaaS
Assembly Global este o agenție globală axată pe performanța și experiența brandurilor, care deservește branduri enterprise prin combinarea expertizei echipelor de creație, media, date și tehnologie. Sistemul său operațional STAGE, bazat pe inteligență artificială, reunește surse globale de date pentru a susține informații în timp real și planificarea performanței brandurilor pe baza datelor. Activitatea companiei acoperă strategia digitală, media plătită, experiența utilizatorului și interfața utilizatorului, precum și serviciile tehnologice, ceea ce o face relevantă pentru profesioniștii care explorează oportunități în marketing, media, date, creație și medii axate pe SaaS.

Senior Data Engineer in Bangalore

Lead data strategy, engineering teams, scalable pipelines, governance, and analytics for Assembly Global’s Bangalore-based onsite operation. Enable reliable data and measurable business decisions across product, business, and operational teams.

Descriere

  • Set and execute the organization’s data vision, strategy, and roadmap.
  • Lead, mentor, and develop data engineers, analysts, and scientists.
  • Coordinate with product, engineering, and business stakeholders to connect data programs with organizational objectives.
  • Direct the design, delivery, and ongoing operation of scalable ETL and ELT pipelines.
  • Manage data architecture across AWS, GCP, Azure, Databricks, Snowflake, and BigQuery environments.
  • Optimize data platforms for availability, performance, and cost control.
  • Create and uphold data governance, security, and compliance standards.
  • Build monitoring, testing, and alerting processes that protect data quality and platform reliability.
  • Provide stakeholders with accurate, dependable, and timely data for informed decisions.
  • Establish and monitor product, business, and operational performance indicators.
  • Strengthen data adoption across teams through education, training, and advocacy.

Cerințe

  • At least seven years of experience in data engineering, analytics, or a related discipline, including two or more years in a leadership role.
  • Advanced proficiency in SQL, Python, and contemporary data frameworks such as PySpark and dbt.
  • Practical experience with Databricks, BigQuery, Snowflake, or Redshift, plus orchestration platforms including Airflow, Databricks, or Prefect.
  • Demonstrated ability to design and operate large-scale batch and streaming data architectures.
  • Strong knowledge of data governance, GDPR and CCPA compliance, and information security practices.
  • Excellent leadership, communication, and stakeholder relationship skills.
  • Background in fast-moving environments, preferably within SaaS, adtech, or consumer data platforms.

Beneficii

  • Employees receive 15 days of annual leave at the start of each calendar year.
  • Employees receive 12 days of sick leave from their date of joining and at the start of each calendar year.
  • Additional leave includes maternity, paternity, and birthday leave.
  • A dedicated learning and development budget supports upskilling and professional certifications.
  • Group personal accident and life insurance coverage is provided to all employees.
  • Family insurance covers the employee and up to seven dependents, including a spouse, up to four children, and parents.
  • Monthly cross-team lunches are provided.
  • A rewards and recognition program includes employee-of-the-month, star performer, tenure celebrations, and other awards.

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