Design, develop, and maintain data solutions by creating data pipelines and ETL processes. Ensure data quality and governance.
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 : Amazon Web Services (AWS)
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, you will play a pivotal role in integrating, and maintaining the infrastructure needed to support data processing and analysis within the client ecosystem. You will collaborate with data scientists, analysts, and other stakeholders to ensure data availability, integrity, and usability for business intelligence and analytics purposes. Roles & Responsibilities: Integrate and unify various Database systems into the client ecosystem by implementing & maintaining scalable ETL pipelines to process large volumes of data. Ensuring data governance and security policies. Work in cross-functional teams (data scientists, analysts, and business partners) to provide them with solutions communicate to non-technical stakeholders. Develop and optimize data architectures and data transformation technologies. to support analytical needs. Manage and optimize databases for performance, scalability, and availability. Integrate data from various sources, including APIs, external cloud platforms, and internal data systems. Identify and resolve bottlenecks in data processing, optimizing the performance of databases and data pipelines. Implement monitoring and logging solutions to proactively address data reliability and quality issues. Professional & Technical Skills: AWS, Database management systems (e.g., SQL - a must, NoSQL, PostgreSQL, MongoDB), ,Python a must, Kafka, big data technologies (Hadoop, pySpark), data warehousing solutions (e.g., Snowflake, Redshift, BigQuery), DevOps tools (gitlab, Docker, Kubernetes). Strong analytical skills and a proactive approach to problem-solving. Ability to work independently and as part of a collaborative team. Able to coach junior team. Additional Information: - The candidate should have minimum 8 years of experience in Amazon Web Services (AWS). - Must have skills : AWS Services , -Good to have skills : Python , Kafka , DevOps tools15 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 : Amazon Web Services (AWS)
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, you will play a pivotal role in integrating, and maintaining the infrastructure needed to support data processing and analysis within the client ecosystem. You will collaborate with data scientists, analysts, and other stakeholders to ensure data availability, integrity, and usability for business intelligence and analytics purposes. Roles & Responsibilities: Integrate and unify various Database systems into the client ecosystem by implementing & maintaining scalable ETL pipelines to process large volumes of data. Ensuring data governance and security policies. Work in cross-functional teams (data scientists, analysts, and business partners) to provide them with solutions communicate to non-technical stakeholders. Develop and optimize data architectures and data transformation technologies. to support analytical needs. Manage and optimize databases for performance, scalability, and availability. Integrate data from various sources, including APIs, external cloud platforms, and internal data systems. Identify and resolve bottlenecks in data processing, optimizing the performance of databases and data pipelines. Implement monitoring and logging solutions to proactively address data reliability and quality issues. Professional & Technical Skills: AWS, Database management systems (e.g., SQL - a must, NoSQL, PostgreSQL, MongoDB), ,Python a must, Kafka, big data technologies (Hadoop, pySpark), data warehousing solutions (e.g., Snowflake, Redshift, BigQuery), DevOps tools (gitlab, Docker, Kubernetes). Strong analytical skills and a proactive approach to problem-solving. Ability to work independently and as part of a collaborative team. Able to coach junior team. Additional Information: - The candidate should have minimum 8 years of experience in Amazon Web Services (AWS). - Must have skills : AWS Services , -Good to have skills : Python , Kafka , DevOps tools15 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
Amazon Web Services (Aws)
BigQuery
Docker
Gitlab
Hadoop
Kafka
Kubernetes
MongoDB
NoSQL
Postgres
Pyspark
Python
Redshift
Snowflake
SQL
Accenture Chennai, Tamil Nadu, IND Office
Chennai, India
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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.


