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Basic Qualifications Requires a Bachelor’s degree in Software Engineering, or a related Science, Engineering, Technology or Mathematics field. Also requires 5+ years of job-related experience, or a Master's degree…
Description The Amivero Team Amivero’s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven…
Quest Software seeks an AI Software Engineer to advance AI-first development practices for a cloud-native SaaS product on Azure. This role involves contributing to the codebase using C#/.NET, Python, and Azure/AWS technologies, while integrating AI coding agents to improve development speed and quality.
Junior Data Engineer building and productionizing data pipelines and data-intensive systems on a cloud-based data lake for Knab, a Dutch digital bank.
Lead/Senior Data Engineer designing and managing enterprise-scale data platforms across Azure and AWS, building ETL/ELT pipelines, lakehouse architectures, and Snowflake data warehouses using Databricks, Delta Lake, PySpark, and SQL.
Data Engineer role developing applications in AWS and Python, working with various AWS services including Lambda, SQS, S3, DynamoDB, and others. Requires strong understanding of REST APIs and maintaining existing applications according to enterprise best practices.
Design, build, and optimize scalable data pipelines and cloud data platforms on AWS using Python, PySpark, and services like Glue, EMR, S3, Redshift, and Athena.
Data Analyst maintaining a cloud data warehouse, ETL pipelines, and BI dashboards for a B2B food and agriculture trading platform, using SQL, Python, Snowflake, and Power BI.
We are seeking a motivated Cloud DevOps and AI Security Engineer to help support, secure, and scale our emerging AI infrastructure and development pipeline. This role is designed for a recent graduate, a master’s…
Lead the modernization of a legacy application by rebuilding it with Python-based services for validation, refactoring, and quality checks, leveraging AWS cloud services and LLM-based development workflows.
Senior Data Engineer designing and building scalable ETL/ELT pipelines, data lakes, and data warehouses on AWS (Lambda, Glue, S3, Redshift, EMR, MWAA/Airflow) with Snowflake and Python across multiple Indian cities.
Senior Data Engineer building and supporting enterprise data infrastructure using PySpark, AWS (Glue, Lambda, S3, Redshift), and Apache Airflow, with production operations and team mentorship responsibilities.
Mid-level Data Engineer on a 6+ month contract working with Python, AWS EMR, EC2, and Lambda, focused on EMR performance and cost optimizations in a hybrid Hyderabad setup.
Design and optimize scalable AWS ETL pipelines using PySpark, orchestrate workflows with Glue/MWAA/Step Functions, and manage infrastructure via Terraform and Docker/EKS.
Databricks Data Engineering Architect defines and drives Databricks architecture and strategy, takes end-to-end ownership of Databricks solutions from design through implementation, and works with technologies like Databricks, Spark, Delta Lake, SQL, Python/PySpark, and Lakeflow.
Data Engineering Consultant at Infosys Consulting, designing and developing data pipelines using Python/PySpark on AWS within the Automation & AI Consulting Practice, collaborating with AI consultants and stakeholders across client engagements.
Designs, builds, and supports data solutions for reporting, analytics, and business decisions using AWS cloud platforms, SQL, Python, and ETL/ELT processes to ensure data accuracy and security.
Senior Data Engineer designing and maintaining real-time and batch data pipelines for SMC Global Securities' financial services and trading platforms, using SQL, Python, AWS (S3, Redshift, Athena, Glue, EMR, Lambda), Airflow, DBT, and Spark within Data Lakehouse architectures.
Senior Data Engineer building real-time data ingestion/processing pipelines and large-scale enterprise data solutions using PySpark, Python, Airflow, SQL, and AWS big data services.
Support and improve the Databricks enterprise platform and ETL pipelines through automation, monitoring, and AI-driven initiatives, using Python, Spark/PySpark, SQL, and AWS services in a hybrid SRE-focused role.
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