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Design and build data services and pipelines supporting machine learning products. Develop automation tools for model deployment, maintain production data systems, improve infrastructure, participate in code reviews, and collaborate across engineering, data science, and product teams. The role requires expertise in distributed systems, large-scale data processing, CI/CD, container orchestration, and AI-enabled workflow improvements.
Top Skills:
AirflowAWSAws BatchCi/CdDockerEmrGlueGoKafkaKubernetesKv StoresLinuxPythonRelational DatabasesSagemakerSparkSpinnaker
Information Technology • Database • Consulting
Designs and supports data models and architecture, reverse-engineers physical data models, resolves data integration challenges, and recommends data movement and technology strategies. Requires advanced SQL, ETL, Snowflake, Python, CI/CD, dimensional modeling, and AWS services, especially S3 and Glue. The role is hybrid in Gurugram and requires at least five years of data engineering experience.
Top Skills:
SparkAws AthenaAws EmrAws GlueAws S3Ci/CdETLPythonSnowflakeSQL
Information Technology • Database • Consulting
Designs and reverse-engineers data models, analyzes integration challenges, and supports data architecture strategy. The role develops long-term data solutions using advanced SQL, Snowflake, ETL processes, and dimensional modeling concepts such as star and snowflake schemas. It also requires familiarity with AWS services, particularly S3 and Glue, along with Python and CI/CD practices.
Top Skills:
Amazon EmrSparkAws AthenaAws GlueAws S3Ci/CdETLPythonSnowflakeSQL
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 : Snowflake Data Warehouse
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
SUMMARY: The ideal candidate will have strong hands-on experience working with Snowflake for data warehousing, table management, SQL development, and validating DBT transformations. The candidate should support scalable data pipelines, data modeling, and data governance practices. Experience with Python, Airflow, and AWS services is a plus for enhancing data processing, ETL workflows, and automation. You will work within a cross-functional team, contributing to reliable data delivery, efficient data workflows, and Agile development processes. ROLES AND RESPONSIBILITIES Manage and maintain Snowflake tables, including creating, updating, and optimizing them. Test and validate DBT queries in Snowflake before migrating them to DBT pipelines. Write advanced SQL queries and apply strong data warehousing architecture techniques. Work with Python and PySpark (nice to have) for large dataset processing, data transformation, and exporting data in multiple formats. Use Python/PySpark (nice to have) to support Snowflake workflows and feed data into analytical tools such as Tableau. Develop and manage ETL and data pipelines using Airflow (nice to have). Set up and design pipelines using strong data modeling, data governance, and cataloging practices. Contribute to CI/CD deployment pipelines for deploying DBT changes. Work with AWS services such as IAM, S3, SNS, SQS, API Gateway, Lambda, DynamoDB, and EKS (nice to have). Apply knowledge of Private/Capital Markets industry domain (nice to have). Participate in Agile ceremonies, sprint planning, and collaborate with cross-functional teams for delivery. PROFESSIONAL AND TECHNICAL SKILLS: Engineering, or related field. 5–8 years of experience in data engineering or software development. Strong hands-on expertise with Snowflake, SQL, and warehousing architecture. Experience testing and validating DBT transformations in Snowflake. Strong SQL proficiency for data transformation and analytics. (Nice to have) Python programming skills for data processing and manipulation. (Nice to have) Experience with Airflow for ETL orchestration and pipeline management. (Nice to have) Familiarity with AWS services including IAM, S3, SNS, SQS, API Gateway, Lambda, DynamoDB, and EKS. Understanding of CI/CD processes for data pipelines and DBT deployments. Knowledge of data modeling, data governance, and cataloging. Experience working in Agile environments. Soft Skills Strong problem-solving and analytical skills. Excellent verbal and written communication skills. Ability to work in agile, cross-functional teams. Ownership mindset, proactive, and self-driven. ADDITIONAL INFORMATION: The candidate should have experience relevant to Snowflake data engineering. This position is based at our Bengaluru 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 : Snowflake Data Warehouse
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
SUMMARY: The ideal candidate will have strong hands-on experience working with Snowflake for data warehousing, table management, SQL development, and validating DBT transformations. The candidate should support scalable data pipelines, data modeling, and data governance practices. Experience with Python, Airflow, and AWS services is a plus for enhancing data processing, ETL workflows, and automation. You will work within a cross-functional team, contributing to reliable data delivery, efficient data workflows, and Agile development processes. ROLES AND RESPONSIBILITIES Manage and maintain Snowflake tables, including creating, updating, and optimizing them. Test and validate DBT queries in Snowflake before migrating them to DBT pipelines. Write advanced SQL queries and apply strong data warehousing architecture techniques. Work with Python and PySpark (nice to have) for large dataset processing, data transformation, and exporting data in multiple formats. Use Python/PySpark (nice to have) to support Snowflake workflows and feed data into analytical tools such as Tableau. Develop and manage ETL and data pipelines using Airflow (nice to have). Set up and design pipelines using strong data modeling, data governance, and cataloging practices. Contribute to CI/CD deployment pipelines for deploying DBT changes. Work with AWS services such as IAM, S3, SNS, SQS, API Gateway, Lambda, DynamoDB, and EKS (nice to have). Apply knowledge of Private/Capital Markets industry domain (nice to have). Participate in Agile ceremonies, sprint planning, and collaborate with cross-functional teams for delivery. PROFESSIONAL AND TECHNICAL SKILLS: Engineering, or related field. 5–8 years of experience in data engineering or software development. Strong hands-on expertise with Snowflake, SQL, and warehousing architecture. Experience testing and validating DBT transformations in Snowflake. Strong SQL proficiency for data transformation and analytics. (Nice to have) Python programming skills for data processing and manipulation. (Nice to have) Experience with Airflow for ETL orchestration and pipeline management. (Nice to have) Familiarity with AWS services including IAM, S3, SNS, SQS, API Gateway, Lambda, DynamoDB, and EKS. Understanding of CI/CD processes for data pipelines and DBT deployments. Knowledge of data modeling, data governance, and cataloging. Experience working in Agile environments. Soft Skills Strong problem-solving and analytical skills. Excellent verbal and written communication skills. Ability to work in agile, cross-functional teams. Ownership mindset, proactive, and self-driven. ADDITIONAL INFORMATION: The candidate should have experience relevant to Snowflake data engineering. This position is based at our Bengaluru 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
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Accenture Karnataka, IND Office
India
Accenture Karnataka, IND Office
India
Accenture Adugodi, Karnataka, IND Office
Adugodi, India
Accenture Bengaluru, Karnataka, IND Office
SEZ, Divyashree Techno Park 36/2, K R Puram, Hobli, Kundalahalli, Whitefield, Bengaluru, Karnataka, India, 560066
What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
