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Analyze business and user requirements across financial services value streams, define technical requirements, develop cloud solution options, and manage business and IT stakeholders. The role requires understanding existing framework capabilities, complex data models, cross-functional solution design, clear documentation, team coordination across regions, and familiarity with the SDLC from design through testing and implementation.
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Google Cloud Platform
Information Technology
Design, develop, and maintain scalable data solutions, pipelines, and ETL processes using Snowflake. Ensure data quality, data governance, and effective integration across systems. Collaborate with multiple teams, provide technical solutions, make team decisions, mentor junior engineers, and improve data processes. The role requires expertise in data modeling, database design, cloud-based data processing, and Snowflake data warehousing.
Top Skills:
ETLSnowflake Data Warehouse
Information Technology
Designs, develops, and maintains data solutions, pipelines, and ETL processes using Snowflake. Ensures data quality, supports data migration across systems, applies data modeling and governance practices, and collaborates with multiple teams. The role serves as a subject matter expert, makes team decisions, solves cross-team data problems, and mentors junior data engineers.
Top Skills:
ETLSnowflake Data WarehouseSQL
Designs, develops, and maintains scalable data solutions, pipelines, and ETL processes using Databricks and PySpark. Ensures data quality, reliability, and performance across systems; supports data migration and deployment; documents workflows; collaborates with cross-functional teams; troubleshoots data issues; and guides junior team members.
Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Data Engineering, Databricks Unified Data Analytics Platform, PySpark
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the integrity and quality of data throughout its lifecycle. Your role includes implementing extract, transform, and load processes to enable seamless migration and deployment of data across various systems, contributing to the overall data infrastructure and operational efficiency within the organization.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
- Monitor and optimize data pipelines to ensure high performance and reliability.
- Document data processes and workflows to support knowledge sharing and maintainability.
- Assist junior team members by providing guidance and support in their tasks.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering, Databricks Unified Data Analytics Platform, PySpark.
- Strong experience in building and managing scalable data pipelines and workflows.
- Knowledge of data storage solutions and data modeling techniques.
- Familiarity with cloud-based data platforms and distributed computing frameworks.
- Ability to troubleshoot and resolve data-related issues efficiently.
- Experience with performance tuning and optimization of data processing jobs.
Additional Information:
- The candidate should have minimum 3 years of experience in Data Engineering.
- This position is based at our Pune office.
- A 15 years full time education is required.
15 years full time education
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Data Engineering, Databricks Unified Data Analytics Platform, PySpark
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the integrity and quality of data throughout its lifecycle. Your role includes implementing extract, transform, and load processes to enable seamless migration and deployment of data across various systems, contributing to the overall data infrastructure and operational efficiency within the organization.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
- Monitor and optimize data pipelines to ensure high performance and reliability.
- Document data processes and workflows to support knowledge sharing and maintainability.
- Assist junior team members by providing guidance and support in their tasks.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering, Databricks Unified Data Analytics Platform, PySpark.
- Strong experience in building and managing scalable data pipelines and workflows.
- Knowledge of data storage solutions and data modeling techniques.
- Familiarity with cloud-based data platforms and distributed computing frameworks.
- Ability to troubleshoot and resolve data-related issues efficiently.
- Experience with performance tuning and optimization of data processing jobs.
Additional Information:
- The candidate should have minimum 3 years of experience in Data Engineering.
- This position is based at our Pune office.
- A 15 years full time education is required.
15 years full time education
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What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
