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Information Technology
Designs, develops, and maintains data solutions, pipelines, ETL processes, and data models. Ensures data quality, supports data migration across systems, and collaborates with data scientists, analysts, and cross-functional teams to meet analytical and business requirements. The role requires Databricks expertise and familiarity with programming, data integration, cloud data services, and data warehousing.
Top Skills:
Cloud PlatformsData WarehousingDatabricks Unified Data Analytics PlatformETLJavaScriptMongoDBNode.jsPythonRedisScalaSQL
Information Technology
Design, develop, and maintain scalable data pipelines, ETL processes, data architectures, and database integrations. Ensure data quality, governance, security, monitoring, and performance across diverse systems, APIs, cloud platforms, and analytical environments. Collaborate with data scientists, analysts, and business stakeholders to deliver reliable data solutions, troubleshoot processing bottlenecks, and support business intelligence. The role also involves coaching junior team members and optimizing databases for scalability and availability.
Top Skills:
Amazon RedshiftAWSAws GlueBigQueryDockerGitlabHadoopKafkaKubernetesMongoDBPostgresPysparkPythonSnowflakeSQL
Information Technology
Designs, develops, and maintains data solutions, pipelines, and ETL processes using Databricks, Azure Databricks, Python, and PySpark. Ensures data quality, supports large-scale processing and integration, troubleshoots complex data issues, and optimizes pipeline performance and scalability. The role serves as a subject matter expert, mentors junior engineers, coordinates cross-functional initiatives, and contributes to team and organizational data engineering decisions.
Top Skills:
Databricks Unified Data Analytics PlatformMicrosoft Azure DatabricksPysparkPython
Design, develop, and maintain scalable data solutions, pipelines, and ETL processes using Databricks. Ensure data quality, reliability, governance, and efficient integration across systems. Collaborate with cross-functional teams to translate data requirements into technical solutions, troubleshoot pipeline issues, document workflows, optimize performance, and support junior team members while contributing as a subject matter expert.
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 : Databricks Unified Data Analytics Platform
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 processes to extract, transform, and load data, enabling seamless migration and deployment across various systems. Collaboration with different teams to understand data requirements and optimize data architecture is an integral part of your daily activities, ensuring that data solutions align with organizational goals and support business intelligence needs.
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 gather and analyze data requirements and translate them into technical solutions.
- Monitor and optimize data pipelines to improve performance and reliability.
- Document data processes and workflows to maintain transparency and facilitate knowledge sharing.
- Assist junior team members by providing guidance and support in their tasks.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Experience in building and managing scalable data pipelines and workflows.
- Strong knowledge of data integration techniques and ETL processes.
- Familiarity with cloud-based data storage and processing solutions.
- Ability to troubleshoot and resolve data-related issues efficiently.
- Understanding of data governance and data quality best practices.
Additional Information:
- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Mumbai 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 : Databricks Unified Data Analytics Platform
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 processes to extract, transform, and load data, enabling seamless migration and deployment across various systems. Collaboration with different teams to understand data requirements and optimize data architecture is an integral part of your daily activities, ensuring that data solutions align with organizational goals and support business intelligence needs.
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 gather and analyze data requirements and translate them into technical solutions.
- Monitor and optimize data pipelines to improve performance and reliability.
- Document data processes and workflows to maintain transparency and facilitate knowledge sharing.
- Assist junior team members by providing guidance and support in their tasks.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Experience in building and managing scalable data pipelines and workflows.
- Strong knowledge of data integration techniques and ETL processes.
- Familiarity with cloud-based data storage and processing solutions.
- Ability to troubleshoot and resolve data-related issues efficiently.
- Understanding of data governance and data quality best practices.
Additional Information:
- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Mumbai office.
- A 15 years full time education is required.
15 years full time education
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Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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Accenture Mahārāshtra, IND Office
India
Accenture Pune, Mahārāshtra, IND Office
Building B-1, Magarpatta City (SEZ, Mundhwa Rd, Magarpatta, Hadapsar, Pune, Maharashtra, India, 411013
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
