Develop end-to-end features and build scalable data pipelines. Design, implement and optimize ETL/ELT workflows, write efficient SQL/PLpgSQL and Python code, maintain documentation, perform code reviews, tune performance for large datasets, and collaborate with stakeholders to align data and application solutions on cloud platforms (AWS).
Project Role : Full Stack Engineer
Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : PostgreSQL
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Project Role: Data Engineer Project Role Description: Build and maintain data pipelines, ensures data quality, and optimizes performance using tools like Python, SQL, Airflow, and cloud platforms. Must have skills: T-SQL or SnowSQL + Airflow or DBT or ETL + Python + AWS (S3, EC2, Lambda) Good to have skills: CI/CD tools like GitHub, Jenkins Minimum 4 year(s) of experience is required Educational Qualification: 15 years full time education Summary: As a Data Engineer you will be responsible to designs, builds, and maintains scalable data pipelines and infrastructure to support analytics, reporting, and machine learning. This role involves developing ETL/ELT workflows, optimizing data models, driving performance improvement to handle large datasets and complex analytical queries, and ensuring data quality and security across cloud platforms like AWS. Data Engineers collaborate with business, BI, and development team members to align data solutions with organizational goals. Roles & Responsibilities: Design, develop, and maintain database objects and data pipelines using PostgreSQL and Python. Collaborate with business stakeholders and cross-functional teams to understand business requirements and translate them into technical solutions. Write efficient SQL and PL/pgSQL code, including functions, procedures, and complex queries. Maintain clear and accurate technical documentation. Participate in code reviews to ensure quality and adherence to best practices. Stay updated on PostgreSQL features and best practices for analytics and transactional systems. Must Have Tools & Languages: Python, SQL (T-SQL, SnowSQL) Airflow, DBT, ETL Snowflake or Postgres AWS (S3, EC2, Lambda) Nice to Have : Tableau, Power BI CI/CD tools like GitHub, Jenkins Good To Have: Experience in data modeling for analytical reporting and large-scale datasets. Optimize SQL and PL/pgSQL code for performance and maintainability. Tune performance for large datasets and high-volume workloads.15 years full time education
Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : PostgreSQL
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Project Role: Data Engineer Project Role Description: Build and maintain data pipelines, ensures data quality, and optimizes performance using tools like Python, SQL, Airflow, and cloud platforms. Must have skills: T-SQL or SnowSQL + Airflow or DBT or ETL + Python + AWS (S3, EC2, Lambda) Good to have skills: CI/CD tools like GitHub, Jenkins Minimum 4 year(s) of experience is required Educational Qualification: 15 years full time education Summary: As a Data Engineer you will be responsible to designs, builds, and maintains scalable data pipelines and infrastructure to support analytics, reporting, and machine learning. This role involves developing ETL/ELT workflows, optimizing data models, driving performance improvement to handle large datasets and complex analytical queries, and ensuring data quality and security across cloud platforms like AWS. Data Engineers collaborate with business, BI, and development team members to align data solutions with organizational goals. Roles & Responsibilities: Design, develop, and maintain database objects and data pipelines using PostgreSQL and Python. Collaborate with business stakeholders and cross-functional teams to understand business requirements and translate them into technical solutions. Write efficient SQL and PL/pgSQL code, including functions, procedures, and complex queries. Maintain clear and accurate technical documentation. Participate in code reviews to ensure quality and adherence to best practices. Stay updated on PostgreSQL features and best practices for analytics and transactional systems. Must Have Tools & Languages: Python, SQL (T-SQL, SnowSQL) Airflow, DBT, ETL Snowflake or Postgres AWS (S3, EC2, Lambda) Nice to Have : Tableau, Power BI CI/CD tools like GitHub, Jenkins Good To Have: Experience in data modeling for analytical reporting and large-scale datasets. Optimize SQL and PL/pgSQL code for performance and maintainability. Tune performance for large datasets and high-volume workloads.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.
Top Skills
Postgresql,Python,Sql (T-Sql),Snowsql,Airflow,Dbt,Etl,Snowflake,Aws S3,Aws Ec2,Aws Lambda,Pl/Pgsql,Tableau,Power Bi,Github,Jenkins
Accenture Chennai, Tamil Nadu, IND Office
Chennai, India
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What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
