Build and maintain data pipelines using diverse data sources for cloud-based platforms, utilizing programming languages like Python, Scala, Bash, or Java.
Design and develop batch and streaming data ingestion pipelines from various systems to cloud-based data and analytics platforms.
Transform data using data mapping and distributed data processing tools like Databricks, Apache Beam, and Apache Spark.
Collaborate with stakeholders, including Product Owners and data analysts, to resolve data-related issues and support their infrastructure needs.
Share knowledge within the team and contribute to building communities that enhance data engineering practices across the organization.
Lead and mentor junior data engineers on methodologies, standards, and best practices in data engineering.
Collaborate with Architects to validate architecture and technology selection for data solutions.

Requirements

4+ years of proven experience as a Data Engineer, preferably in building data lake solutions.
Minimum 2 years of experience with cloud-based data components (Azure Databricks, AWS, GCP) or Snowflake.
Solid understanding of SDLC processes, large-scale program experience, data warehousing, and ETL development.
Experience in DevOps to build automated pipelines for deploying features on enterprise data platforms.
Proficiency in peer review practices for source control.
Strong knowledge of Data Engineering principles, data design patterns, and data management practices in the cloud.
Experience in building data ingestion, processing, and quality frameworks for an enterprise data lake.
Relevant certification from leading cloud-based providers is desirable.
Bachelor s degree in IT or equivalent

More Jobs at Isoft India Technologies

Data Engineer

noida

4.0 - 9.0 yrs

INR 9 - 10 Lacs

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.