Greetings! I hope this email finds you well. Job Summary: • Strong hands-on experience on Azure Integration Stack Logic Apps, Functions, Service Bus, APIM, Azure Data Factory, Event Grid, Evet Hub Hands-on experience on troubleshooting using Azure Portal and Log Analytics Experience on C#.NET, APIs Hands-on knowledge on end to end automations of using ARM Templates Working Knowledge on Microsoft SQL Server Strong working knowledge on Visual Studio development environment. Knowledge on JSON, XML and XSD.

Role & responsibilities Data Engineering - Python, Pyspark, Databricks. Secondary skill: React/.net/sql We are seeking a highly skilled AI Engineer - Python Developer to join our dynamic team. The ideal candidate will have a strong background in Python programming, experience with Databricks, and an understanding of machine learning concepts. This role focuses on developing and deploying scalable AI and data-driven solutions, enabling efficient data processing and advanced analytics. Responsibilities:Azure Data Factory design ETL processes and create complex pipelinesIn depth knowledge of Azure, Azure Key vault, Azure Data Factory and Databrick, SQL Server 2012+, SSIS, SQL Reporting Services (SSRS)SQL / T-SQL (database design & SPs)Python experience (building basic APIs, load and read data from various sources)Knowledge of various types of data such as XML, Json, Excel, CSVExperience with other Azure Services (e.g. data bricks, data lake, synapse) is nice to havePower BI experience is nice to have too Mandatory Skill Set: Phyton, Ai/ AMLF, Gen Ai (6+ yrs) Proficiency with Azure DLS Gen 2 Proficiency with Data Bricks Model Registry Proficiency with Azure Data Factory ETL Pipeline integration with Databricks

Greetings! I hope this email finds you well. Job Summary: Expertise in AWS,Databricks and PysparkA set of expectations for Mid/Senior Data Engineer role (in our DSOL department):• min. 3 yrs on role Software Engineering + Backend Eng. (one of languages: Python, Java, Scala, Rust - with focus on Python today)o practice with high quality codes (unit testing, integration testing, others) + code metricso fast discovery what is in new repository code, asking right technical questions about codebase and code quality, CI/CD as a general rule of work (automatic tasks, instead of manual)• min. 2 yrs on role near "data" subject like Data Engineer or Integrations Engineer o strong understanding data pipelines in Apache Spark, Apache Airflow and similar orchestratorso understanding on mid. level Databricks or other modern platforms BigData solutions inside (i.e. data catalogs, computes engines, SQL engines, observability layers, etc.)o strong focus on delivery data pipelines on high quality from data product delivery perspective o practical exp. with data streams and Petabytes scale • min. 1 yr with exp. near data integrations (data pipelines, connection for diff. types of data sources and sinks)• soft skills for discussion with vendors/partners about possible solutions/limits/properties in technical integrations and different data architectures• strong technical arguments in technologies in data integrations and BigData areas (focused on Open Source tools)• + basic AWS knowledge (Lambda, SQS, CloudWatch, Powertools)

Greetings! I hope this email finds you well. Job Summary: Must Have:Should have deep understanding of various AWS servicesShould have working experience in integrating AWS services to build complex and efficient systems.Should have software development background in Java/C#/Python.Should have strong understanding of architecture and design principles. This includes knowledge of design patterns, best practices, and industry standards. Should have strong problem-solving skills. Being able to analyze complex problems, identify potential solutions, and design effective systems are crucial.Must have good communication skills and should work with Cross-functional teams to cater the complex requirements. Good to Have:Good to have AWS - Solution Architect certification.MUST HAVE: Expertise in AWS services, Architecture, integrations, Java/C/PythonNice to have : AWS - Solution Architect certification.

Greetings! I hope this email finds you well. Job Summary: Expertise in AWS,Databricks and PysparkA set of expectations for Mid/Senior Data Engineer role (in our DSOL department):• min. 3 yrs on role Software Engineering + Backend Eng. (one of languages: Python, Java, Scala, Rust - with focus on Python today)o practice with high quality codes (unit testing, integration testing, others) + code metricso fast discovery what is in new repository code, asking right technical questions about codebase and code quality, CI/CD as a general rule of work (automatic tasks, instead of manual)• min. 2 yrs on role near "data" subject like Data Engineer or Integrations Engineer o strong understanding data pipelines in Apache Spark, Apache Airflow and similar orchestratorso understanding on mid. level Databricks or other modern platforms BigData solutions inside (i.e. data catalogs, computes engines, SQL engines, observability layers, etc.)o strong focus on delivery data pipelines on high quality from data product delivery perspective o practical exp. with data streams and Petabytes scale • min. 1 yr with exp. near data integrations (data pipelines, connection for diff. types of data sources and sinks)• soft skills for discussion with vendors/partners about possible solutions/limits/properties in technical integrations and different data architectures• strong technical arguments in technologies in data integrations and BigData areas (focused on Open Source tools)• + basic AWS knowledge (Lambda, SQS, CloudWatch, Powertools)