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Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering
11-50
Founded 2020

Description

  • Lead the design, development, and optimization of scalable data pipelines, data lakes, and data warehouses.
  • Define and implement the overall data engineering strategy aligned with business goals and growth plans.
  • Architect modern data platforms using cloud technologies such as AWS, Azure, or GCP.
  • Drive best practices in data modeling, ETL/ELT processes, data governance, and data quality management.
  • Collaborate with data scientists, analysts, and business stakeholders to support data-driven decision-making.
  • Build, mentor, and scale a high-performing team of data engineers.
  • Oversee large-scale data integration across structured and unstructured data sources.
  • Ensure data security, compliance, and privacy standards are maintained across systems.
  • Evaluate and implement new tools, frameworks, and technologies to strengthen data capabilities.
  • Establish performance benchmarks and continuously improve reliability, scalability, and efficiency.

Requirements

  • 12+ years of experience in data engineering or a related field.
  • Strong expertise in distributed data processing, data architecture, and pipeline optimization.
  • Hands-on experience with Spark, Hadoop, Kafka, and Airflow.
  • Proficiency in SQL, Python, Scala, or Java for building data workflows.
  • Experience with cloud-based data platforms and services such as AWS Redshift, BigQuery, or Azure Data Factory.
  • Experience with both real-time and batch data processing systems.
  • Strong knowledge of data warehousing concepts, dimensional modeling, and data lake architectures.
  • Familiarity with DevOps practices, CI/CD pipelines, and infrastructure as code.
  • Proven ability to design systems that handle high data volume, velocity, and variety.
  • Demonstrated experience leading and scaling data engineering teams in fast-paced environments.
  • Strong stakeholder management and communication skills, including the ability to translate technical concepts into business value.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (preferred).
  • Experience building data platforms supporting AI/ML initiatives (preferred).
  • Prior leadership experience in high-growth or enterprise environments (preferred).

Benefits

  • Salary range of Rs 60,00,000 to Rs 85,00,000 per year (INR 60–85 LPA).
  • Remote work from India.
  • Full-time employment.

Interested in this position?

Apply directly on the company website

Apply Now

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