Data Engineer – Hadoop, Spark, Java/scala/python, Nosql & Big Data Analytics Expert
synechron
Hadoop and spark big data frameworks
Java, scala, python programming languages
Nosql databases like apache cassandra and hbase
Synechron is looking for a talented Data Engineer to design, develop, and maintain scalable big data solutions that support strategic business goals
Job Summary
Synechron is looking for a talented Data Engineer to design, develop, and maintain scalable big data solutions that support strategic business goals.
The Data Engineer will ensure data accuracy and quality through robust control processes and provide technical expertise to support big data infrastructure and applications.
Synechron is committed to fostering an inclusive culture promoting equality, diversity, and an environment that is respectful to all.
Matching Summary
Synechron is looking for a talented Data Engineer to design, develop, and maintain scalable big data solutions that support strategic business goals.
Skills & Requirements
Must-have
Hadoop and Spark big data frameworks
Java, Scala, Python programming languages
NoSQL databases like Apache Cassandra and HBase
MapReduce, Hive, Pig data processing tools
Big data cluster management and optimization
Nice-to-have
Data visualization with Tableau or Power BI
Cloud big data platforms AWS, Azure, Google Cloud
Agile development methodologies
Basic data security and governance knowledge
Effective teamwork and communication skills
Key Requirements
4+ years experience in big data engineering
Bachelor’s degree in Computer Science or related field
Professional certifications in big data or cloud platforms considered a plus