Job Description

This role is for one of Weekday's clients
Salary range: Rs 3500000 - Rs 6000000 (ie INR 35-60 LPA)
Min Experience: 9 years
Location: Bengaluru
JobType: full-timeRequirementsAbout the Role:We are seeking a highly experienced and innovative Senior Data Engineer to join our growing data team. As a Data Engineer, you will be responsible for designing, developing, and maintaining robust data pipelines and scalable architectures that support our business intelligence, analytics, and data-driven decision-making initiatives. You will work closely with data scientists, analysts, product managers, and other stakeholders to ensure that our data infrastructure is efficient, reliable, and aligned with business goals.This is a strategic role ideal for someone who thrives in a fast-paced environment, has deep experience in data engineering best practices, and is passionate about leveraging data to drive impact at scale.Key Responsibilities:

• Data Architecture & Pipeline Development:

• Design and build highly scalable, efficient, and secure data pipelines for batch and real-time data processing.
• Develop and maintain ETL/ELT processes to extract, transform, and load data from multiple sources into data warehouses and data lakes.
• Data Modeling & Warehousing:

• Create and maintain optimized data models that support advanced analytics and reporting.
• Design and implement data warehousing solutions using modern data storage technologies.
• Data Quality & Governance:

• Ensure high levels of data availability, quality, and integrity through the implementation of robust data validation, monitoring, and governance practices.
• Partner with compliance and data governance teams to enforce data security and privacy policies.
• Collaboration & Cross-functional Partnership:

• Work closely with data scientists, analysts, and business teams to understand data requirements and provide reliable data solutions.
• Collaborate with DevOps and infrastructure teams to automate deployment and manage cloud-based data environments.
• Tooling & Performance Optimization:

• Implement monitoring tools and optimize performance of data pipelines and database systems.
• Stay updated with the latest trends in data engineering, and evaluate new tools and technologies for adoption.

• Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or a related field.
• 9+ years of hands-on experience in Data Engineering, with a deep understanding of scalable data pipeline architecture.
• Proficient in at least one programming language such as Python, Java, or Scala.
• Strong experience with ETL/ELT frameworks, data orchestration tools (e.g., Apache Airflow, DBT), and workflow management.
• Solid experience working with cloud data platforms (e.g., AWS, Azure, GCP) and data storage solutions (e.g., Snowflake, Redshift, BigQuery).
• Expertise in SQL and data modeling for both OLAP and OLTP systems.
• Familiarity with distributed systems, streaming technologies (Kafka, Spark), and containerization (Docker, Kubernetes) is a plus.

• Experience in a fast-paced startup or enterprise data team.
• Exposure to big data technologies and real-time data processing.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and project management abilities.