Design, develop, and maintain Hadoop-based data ingestion and processing pipelines for enterprise data lakes. Build Spark and Scala transformation jobs, optimize Hive data and SQL queries, automate workflows with Unix shell scripting and SFTP, and support data quality, reliability, debugging, documentation, and performance optimization.
Project Role : Application Developer
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : Apache Hadoop
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Role Summary:
We are looking for a skilled Data Engineer to design, build, and maintain scalable data ingestion and processing pipelines for a modern data lake environment. The role involves working with Hadoop ecosystem technologies, Spark (Scala), Hive, SQL, and Unix scripting to support enterprise-grade data platforms.
Key Responsibilities
Design and develop data ingestion pipelines to load structured and unstructured data into the enterprise Data Lake.
Own the documentation, design, development, and architecture of Hadoop-based applications.
Develop, manage, and optimize data stored in Hive databases to support analytics and reporting needs.
Build and maintain data ingestion and transformation jobs using Apache Spark with Scala.
Write clean, efficient, and maintainable code test, debug, and optimize programs following best engineering practices.
Develop Unix shell scripts for automation, scheduling, and operational workflows, including SFTP-based file transfers across environments.
Write and optimize complex SQL queries to support data transformations, validations, and business logic.
Collaborate with cross-functional teams to ensure data quality, reliability, and performance.
Required Skills & Experience
Strong hands-on experience with Hadoop ecosystem (HDFS, Hive).
Solid expertise in Apache Spark (Scala) for data processing.
Proficiency in SQL, including complex joins, aggregations, and performance tuning.
Strong experience with Unix/Linux scripting and file transfer protocols (SFTP).
Experience designing and supporting data lake architectures.
Understanding of data engineering best practices, debugging, and performance optimization.
Additional Information:
- The candidate should have minimum 4 years of experience in Apache Hadoop.
- This position is based at our Chennai office.
- 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 : Apache Hadoop
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Role Summary:
We are looking for a skilled Data Engineer to design, build, and maintain scalable data ingestion and processing pipelines for a modern data lake environment. The role involves working with Hadoop ecosystem technologies, Spark (Scala), Hive, SQL, and Unix scripting to support enterprise-grade data platforms.
Key Responsibilities
Design and develop data ingestion pipelines to load structured and unstructured data into the enterprise Data Lake.
Own the documentation, design, development, and architecture of Hadoop-based applications.
Develop, manage, and optimize data stored in Hive databases to support analytics and reporting needs.
Build and maintain data ingestion and transformation jobs using Apache Spark with Scala.
Write clean, efficient, and maintainable code test, debug, and optimize programs following best engineering practices.
Develop Unix shell scripts for automation, scheduling, and operational workflows, including SFTP-based file transfers across environments.
Write and optimize complex SQL queries to support data transformations, validations, and business logic.
Collaborate with cross-functional teams to ensure data quality, reliability, and performance.
Required Skills & Experience
Strong hands-on experience with Hadoop ecosystem (HDFS, Hive).
Solid expertise in Apache Spark (Scala) for data processing.
Proficiency in SQL, including complex joins, aggregations, and performance tuning.
Strong experience with Unix/Linux scripting and file transfer protocols (SFTP).
Experience designing and supporting data lake architectures.
Understanding of data engineering best practices, debugging, and performance optimization.
Additional Information:
- The candidate should have minimum 4 years of experience in Apache Hadoop.
- This position is based at our Chennai 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 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.
