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Assembly Global
Assembly Global
1,001 – 5,000 Employees
MarketingMediaSaaS
Assembly Global is a global brand performance and experience agency serving enterprise brands through the combined expertise of creative, media, data, and technology teams. Its STAGE AI-enabled operating system brings global data sources together to support real-time insights and data-informed brand performance planning. The company’s work spans digital strategy, paid media, UX/UI, and technology services, making it relevant to professionals exploring opportunities across marketing, media, data, creative, and SaaS-focused environments.
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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.

INIndiaOn-siteFull-timeSeniorEnglish RequiredData Engineer
AirflowAmazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformPySparkPythonSQL

Description

  • 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.

Requirements

  • 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.

Benefits

  • 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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