The Role
Design, develop, and maintain Azure-based ETL pipelines and data platforms integrating structured and unstructured data for analytics and data science. Build optimized dimensional databases capable of supporting large-scale, high-performance queries. Apply SQL, Python, Scala, Databricks, Spark, and machine learning libraries while contributing across the software development lifecycle, including code reviews, CI/CD, Agile delivery, and application support.
Summary Generated by Built In
Project Role : Custom Software Engineer
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : Microsoft Azure Data Services
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Custom Software Engineer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with various stakeholders to gather requirements, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will also participate in code reviews and contribute to the continuous improvement of development practices, ensuring that the applications you build align with the strategic goals of the organization.
Roles & Responsibilities:
- Design, develop and maintain / support advanced ETL pipelines on Azure cloud technologies to ingest & integrate data coming from multiple sources and make it ready for analytics, data science business needs.
- Analyse ML algorithms that could be used to solve problems and rank them by their success probability.
- Ensure the end users of the Data, whether they be a Analysts or Data Scientists or Executive, can get accurate data which can help them make insightful decisions.
- Produce optimised dimensional database
- Designs to support hundreds of users querying millions of transactions at performance ranging from minutes down to sub-second.
- Build the next generation platform using the latest Cloud-based technology.
- Contribute to the end-2-end software development life cycle.
Professional & Technical Skills:
- Ability to work across structured, semi-structured and unstructured data, extracting information and identifying linkages across disparate data sets.
- Hands on experience with at least one of the programming languages: Scala, Python
- Experience of working with traditional data warehousing, Azure Data Factory, Azure Data Bricks, Azure Data Lake Storage, Azure Devops, Azure storage services, Azure data services and equivalent technologies
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience in at least two database technology such as:
- Traditional RDBMS (Postgres, MS SQL Server, Oracle)
- Experience in Distributed Processing using Databricks (preferred) or Apache Spark
- Good knowledge with Scala/Python and basic libraries for machine learning such as scikit-learn and pandas.
- Proficient at working with large and complex code bases using Github, Gitflow, Fork/Pull Model and CI/CD.
- Exposure to webservice (SOAP/REST) development skills.
- Working experience in Agile methodologies (SCRUM, XP, Kanban)
Good to have - Exposer to IOT central/IOT hub and Exposer to work with AKS.
Additional Information:
- The candidate should have minimum 6 years of experience in Microsoft Azure Data Services.
- This position is based at our Pune office, 3 days WFO mandatory from Kharadi.
- A 15 years full time education is required.15 years full time education
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : Microsoft Azure Data Services
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Custom Software Engineer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with various stakeholders to gather requirements, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will also participate in code reviews and contribute to the continuous improvement of development practices, ensuring that the applications you build align with the strategic goals of the organization.
Roles & Responsibilities:
- Design, develop and maintain / support advanced ETL pipelines on Azure cloud technologies to ingest & integrate data coming from multiple sources and make it ready for analytics, data science business needs.
- Analyse ML algorithms that could be used to solve problems and rank them by their success probability.
- Ensure the end users of the Data, whether they be a Analysts or Data Scientists or Executive, can get accurate data which can help them make insightful decisions.
- Produce optimised dimensional database
- Designs to support hundreds of users querying millions of transactions at performance ranging from minutes down to sub-second.
- Build the next generation platform using the latest Cloud-based technology.
- Contribute to the end-2-end software development life cycle.
Professional & Technical Skills:
- Ability to work across structured, semi-structured and unstructured data, extracting information and identifying linkages across disparate data sets.
- Hands on experience with at least one of the programming languages: Scala, Python
- Experience of working with traditional data warehousing, Azure Data Factory, Azure Data Bricks, Azure Data Lake Storage, Azure Devops, Azure storage services, Azure data services and equivalent technologies
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience in at least two database technology such as:
- Traditional RDBMS (Postgres, MS SQL Server, Oracle)
- Experience in Distributed Processing using Databricks (preferred) or Apache Spark
- Good knowledge with Scala/Python and basic libraries for machine learning such as scikit-learn and pandas.
- Proficient at working with large and complex code bases using Github, Gitflow, Fork/Pull Model and CI/CD.
- Exposure to webservice (SOAP/REST) development skills.
- Working experience in Agile methodologies (SCRUM, XP, Kanban)
Good to have - Exposer to IOT central/IOT hub and Exposer to work with AKS.
Additional Information:
- The candidate should have minimum 6 years of experience in Microsoft Azure Data Services.
- This position is based at our Pune office, 3 days WFO mandatory from Kharadi.
- A 15 years full time education is required.15 years full time education
About Accenture
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
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Skills Required
- Minimum 7.5 years of professional experience
- At least 6 years of experience with Microsoft Azure Data Services
- 15 years of full-time education
- Experience with Microsoft Azure Data Services
- Hands-on experience with Scala or Python
- Experience with traditional data warehousing
- Experience with Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure DevOps, and Azure storage services
- Advanced SQL and relational database experience
- Experience with at least two database technologies, including PostgreSQL, Microsoft SQL Server, or Oracle
- Distributed processing experience with Databricks or Apache Spark
- Working knowledge of scikit-learn and pandas
- Experience with GitHub, Gitflow, fork/pull workflows, and CI/CD
- Exposure to SOAP or REST web service development
- Experience with Agile methodologies such as Scrum, XP, or Kanban
- Exposure to IoT Central or IoT Hub
- Experience working with AKS
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
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The Company
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
