Design, develop, and maintain scalable Azure Databricks data solutions, including Lakehouse pipelines, ETL/ELT, streaming, Delta Lake optimization, governance, and CI/CD. Ensure data quality, troubleshoot integrations, optimize workflows, and deliver datasets for BI, machine learning, and GenAI. Lead technical decisions, coordinate cross-functional initiatives, manage team execution, and mentor junior engineers.
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 : Microsoft Azure Databricks
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. Additionally, the position requires implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. This dynamic environment encourages continuous collaboration and innovation to meet evolving data needs and support organizational objectives.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead efforts to optimize data workflows and improve system performance.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate cross-functional initiatives to align data strategies with business goals.
-Build and operate scalable Lakehouse pipelines on Databricks/Azure. Own ELT/streaming, Delta Lake optimization, Unity Catalog governance, and CI/CD. Integrate ADLS/ADF/Synapse, and deliver high-quality data sets for BI/ML/GenAI.
-Must-haves: PySpark, SQL, Databricks (Delta, DLT/Workflows), Azure data services, Unity Catalog, CI/CD.
MLflow/Feature Store, Power BI, streaming/CDC, vector search/RAG, Terraform.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Microsoft Azure Databricks.
- Experience in designing and implementing scalable data pipelines and ETL processes.
- Strong knowledge of cloud-based data storage and processing solutions.
- Ability to troubleshoot and resolve complex data integration issues.
- Familiarity with data governance and data quality best practices.
- Skilled in performance tuning and optimization of data workflows.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Microsoft Azure Databricks.
- 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 : Microsoft Azure Databricks
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. Additionally, the position requires implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. This dynamic environment encourages continuous collaboration and innovation to meet evolving data needs and support organizational objectives.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead efforts to optimize data workflows and improve system performance.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate cross-functional initiatives to align data strategies with business goals.
-Build and operate scalable Lakehouse pipelines on Databricks/Azure. Own ELT/streaming, Delta Lake optimization, Unity Catalog governance, and CI/CD. Integrate ADLS/ADF/Synapse, and deliver high-quality data sets for BI/ML/GenAI.
-Must-haves: PySpark, SQL, Databricks (Delta, DLT/Workflows), Azure data services, Unity Catalog, CI/CD.
MLflow/Feature Store, Power BI, streaming/CDC, vector search/RAG, Terraform.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Microsoft Azure Databricks.
- Experience in designing and implementing scalable data pipelines and ETL processes.
- Strong knowledge of cloud-based data storage and processing solutions.
- Ability to troubleshoot and resolve complex data integration issues.
- Familiarity with data governance and data quality best practices.
- Skilled in performance tuning and optimization of data workflows.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Microsoft Azure Databricks.
- This position is based at our Pune office.
- 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.
Accenture Airoli, Mahārāshtra, IND Office
Airoli, India
Accenture Mumbai, Maharashtra, IND Office
Ganpatrao Kadam Marg, off Senapati Bapat Marg, Lower Parel West, Lower Parel, Mumbai, Maharashtra, India, 400013
Similar Jobs
Artificial Intelligence • Analytics • Business Intelligence • Consulting
Designs, develops, and maintains SQL- and Python-based data pipelines and ETL processes. Performs data cleaning, validation, quality assurance, database optimization, and transformation of raw data into structured datasets for reporting and analytics. Processes data from databases, CSV, and Excel files, automates repetitive tasks, supports production troubleshooting, collaborates with stakeholders, and documents workflows.
Top Skills:
Apache AirflowAWSAzureAzure Data FactoryDatabricksExcelGCPGitMySQLNumpyPandasPostgresPythonSQLSQL Server
Hardware • Software
Designs, develops, and tests scalable data management solutions, including acquisition, integration, and transformation pipelines. Builds data structures and infrastructure across cloud and edge environments using Azure, Databricks, and SAP Data Services. Manages DevOps pipelines, continuous deployment, and containerization. Collaborates with technical leads, analysts, architects, product owners, and business stakeholders to define requirements, deliver high-quality code, and enhance applications.
Top Skills:
AgileAzure Data Factory (Adf)Azure Data Lake Storage (Adls)Ci/CdContainerizationDatabricksDevOpsAzureSap Data ServicesSQLTabular Models
Information Technology • Consulting • Financial Services
Design, develop, optimize, and maintain scalable ETL pipelines using PySpark and AWS Glue. Build data ingestion and transformation workflows, orchestrate processes with AWS Step Functions, and develop Python-based AWS Lambda functions. Support AWS data lake architectures, analytical use cases, monitoring, reliability, and performance optimization. The role also involves SQL and may include Java microservices, REST APIs, and backend integrations.
Top Skills:
AWSAws Data LakesAws GlueAws LambdaAws Step FunctionsETLJavaPysparkPythonRest ApisSQL
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
