Bigdata Hadoop developer
1 day ago
Location:
Hyderabad
Experience:
6–10 years
Key Responsibilities:
- Design, develop, and maintain
scalable big data systems and pipelines
. - Implement data processing frameworks and optimize large datasets using tools such as
Hadoop, Spark, and Hive. - Develop and maintain
ETL processes
to ensure data availability, accuracy, and quality for downstream applications. - Collaborate with data architects, analysts, and business stakeholders to translate requirements into scalable big data solutions.
- Perform
data validation, quality checks, and troubleshooting
to maintain reliability of pipelines. - Optimize
data storage, retrieval, and performance
in Hadoop ecosystem. - Ensure
security, governance, and compliance
across big data environments.
Required Skills & Qualifications:
- 6–10 years of hands-on experience in
Big Data technologies
. - Strong expertise in
Hadoop ecosystem (HDFS, MapReduce, YARN). - Proficiency with
Apache Spark
(batch and streaming) and Hive. - Experience in designing and implementing
data pipelines and ETL processes
. - Knowledge of data optimization, partitioning, and performance tuning in large datasets.
- Familiarity with NoSQL databases (HBase, Cassandra, MongoDB) is a plus.
- Experience with scripting/programming languages (Java, Scala, Python, or Shell).
- Strong problem-solving
Preferred Qualifications:
- Bachelor's/Master's degree in Computer Science, Information Technology, or related field.
- Experience in
real-time data processing
with tools like
Kafka, Flink, or Storm
. - Exposure to
data governance
and security frameworks
in big data environments.
Application Process:
Interested candidates, email resume and cover letter to
.
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