Senior Data Engineer

The role involves supporting S4 HANA Finance Module implementation, focusing on data migration, with strong skills in BODS, SQL Server, and collaboration.

Seeking a Data Engineer skilled in Python, TensorFlow, PyTorch, data preprocessing, and forecasting models for IT software functions.

The role involves Azure fabric, data lake concepts, API integration, and real-time data processing in the real estate domain.

Design and build scalable data pipelines using AWS and GCP, ensuring data quality and security while collaborating with cross-functional teams.

Responsible for assessing data sources, implementing data pipelines using Azure technologies, and collaborating with teams to deliver business insights.

Design and maintain scalable data pipelines, collaborate with stakeholders, ensure data security, and proficient in SQL, programming, and big data technologies.

Design and implement data pipelines, optimize ETL processes using Python and SQL, ensure data quality, and utilize AWS services for efficient data management.

The role involves developing semantic models, designing ETL processes, and ensuring data quality in a data lake environment using Azure technologies.

The role involves leading a Data Capability team, developing web-based solutions, and utilizing data engineering tools for business success.

Responsible for data governance, designing technical solutions, implementing data pipelines, and collaborating on cloud-based analytics using Azure and Databricks.

Develop machine learning models for demand forecasting and pricing optimization, leveraging Generative AI and MLOps practices to enhance customer analytics.

The role involves leading data engineering solutions, collaborating with stakeholders, ensuring data quality, and implementing best practices in data architecture.

Design and maintain data pipelines and infrastructure for analytics, ensuring data quality and security while collaborating with stakeholders for decision-making.

Design and manage scalable ETL pipelines, optimize data performance, and leverage cloud technologies while possessing advanced SQL and Python skills.

Design and maintain data lake solutions, implement data strategies, ensure data quality, and coach junior team members in AWS cloud environment.

The Data Engineer intern will integrate raw data, develop data models, and create visualizations while collaborating with various departments in a cloud environment.

The role involves ETL development, data warehouse management, process optimization, team leadership, and implementing best practices for data integration.

Seeking a skilled Data Engineer with expertise in Informatica Big Data Management, data integration, and security in enterprise environments, preferably in banking.

The role involves designing and implementing data pipelines, optimizing ETL processes, ensuring data quality, and collaborating with data scientists.

Design and implement ETL processes, integrate data from various sources, and ensure data quality and governance for advanced analytics and machine learning.

Design and optimize large-scale data infrastructure, develop AI solutions, manage data pipelines, and collaborate with experts using Python and SQL.

Proficient in Python, web frameworks, and microservices; skilled in data transformation, database management, and DevOps practices with strong communication abilities.

Support data infrastructure development, optimize ETL processes, and collaborate with data teams while ensuring data integrity and compliance with governance policies.

Assist in designing, developing, and maintaining data pipelines and infrastructure using ETL processes, cloud technologies, and database management for analytics.

Strong experience in Azure Data Factory, Databricks, Eventhub, Python, PySpark, Azure Synapse, SQL, and Azure DevOps for deploying ADF pipelines.

Seeking a skilled professional in Data Engineering and AI/ML to design data architectures, develop ML models, and integrate Generative AI solutions.