Design, build, optimize, and deploy large-scale Spark/Scala data processing and ETL pipelines on Cloudera (CDH). Collaborate with data teams, ensure data integrity and security, troubleshoot performance, and implement version control and CI/CD for Spark applications.
Key Responsibilities:
- Develop, test, and deploy data processing applications using Apache Spark and Scala.
- Optimize and tune Spark applications for better performance on large-scale data sets.
- Work with the Cloudera Hadoop ecosystem (e.g., HDFS, Hive, Impala, HBase, Kafka) to build data pipelines and storage solutions.
- Collaborate with data scientists, business analysts, and other developers to understand data requirements and deliver solutions.
- Design and implement high-performance data processing and analytics solutions.
- Ensure data integrity, accuracy, and security across all processing tasks.
- Troubleshoot and resolve performance issues in Spark, Cloudera, and related technologies.
- Implement version control and CI/CD pipelines for Spark applications.
Required Skills & Experience:
- Minimum 8 years of experience in application development.
- Strong hands on experience in Apache Spark, Scala, and Spark SQL for distributed data processing.
- Hands-on experience with Cloudera Hadoop (CDH) components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop.
- Familiarity with other Big Data technologies, including Apache Kafka, Flume, Oozie, and Nifi.
- Experience building and optimizing ETL pipelines using Spark and working with structured and unstructured data.
- Experience with SQL and NoSQL databases such as HBase, Hive, and PostgreSQL.
- Knowledge of data warehousing concepts, dimensional modeling, and data lakes.
- Ability to troubleshoot and optimize Spark and Cloudera platform performance.
- Familiarity with version control tools like Git and CI/CD tools (e.g., Jenkins, GitLab).
Photon Chennai, Tamil Nadu, IND Office
DLF IT Park 1/124 Mount Poonamallee Road Sivaji Gardens Manapakkam , Chennai, India, 600089
Similar Jobs
Artificial Intelligence • Cloud • Software • Big Data Analytics
The Senior Solutions Architect will design and develop scalable data solutions, manage Hadoop clusters, and collaborate with clients to resolve complex data challenges.
Top Skills:
AnsibleApache HiveBashChefHadoopJavaNifiPerlPuppetPythonScalaSpark
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead and grow engineering teams building large-scale AI/ML platform infrastructure (model serving, training, feature stores). Drive technical strategy, deliver complex backend systems to production, partner with product and stakeholders, uphold high engineering and operational standards, and coach engineers for career growth.
Top Skills:
Backend PlatformsDistributed SystemsFeature StoresGpu-Accelerated Model ServingLlmsTraining And Data Access Infrastructure
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Manage large enterprise accounts to retain and expand Atlassian product usage. Build and sustain senior/executive relationships, lead high-value renewals and complex sales cycles, forecast owned book of business, identify and mitigate customer risk, collaborate with Sales and channel partners, and use data and product knowledge to discover expansion opportunities.
Top Skills:
Atlassian ProductsClariSalesforceTableau
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.

.jpg)
