Data Engineer
Summary
Senior Data Engineer who designs, builds, and owns scalable data products and reliable ETL/ELT pipelines for the organization. Core stack is SQL plus Python/Scala/Java on cloud platforms like Azure, AWS, or GCP, with a focus on data quality, governance, and CI/CD best practices.
We are searching Senior Data Engineer to design, build, and own scalable data
products that enable data-driven product development across the organization.
8+ years of experience as a Data Engineer with end-to-end ownership of data
products.
Strong proficiency in SQL and at least one programming language such as
Python, Scala, or Java.
Hands-on experience with cloud platforms such as Azure, AWS, or GCP.
Experience building and maintaining scalable ETL/ELT pipelines and data
Strong understanding of data governance, data quality, and production data best
practices.
Mandatory Skills-
Design, build, and own scalable data products across the organization.
Architect and implement efficient, reliable, and maintainable data pipelines from
Ensure data quality, reliability, and governance across data products and
Collaborate with product, engineering, and analytics teams to understand data
requirements and deliver effective solutions.
Evolve data architecture to support scalability, performance, and changing
business needs.
Drive data engineering with best practices, including testing, monitoring,
documentation, and CI/CD.
Identify opportunities to modernize and automate data infrastructure to improve
Work with stakeholders to plan data products and mentor team members.
Nice to have-
organizations.
Familiarity with Databricks, Spark, Airflow, or dbt.
Experience with streaming technologies such as Kafka.
- Exposure to MLOps and data science or analytics use cases.