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Posted:23 hours ago| Platform: Linkedin logo

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Skills Required

data developer engineering software spark scala python aws hadoop mapreduce hive sqoop kafka model efficiency agile development airflow technology design analysis communication analyze replication strategies support testing deployment prototype processing architecture automate

Work Mode

On-site

Job Type

Full Time

Job Description

Location: Hyderabad Budget: 3.5x Notice : Immediate joiners Requirements : • BS degree in computer science, computer engineering or equivalent • 5-9 years of experience delivering enterprise software solutions • Familiar with Spark, Scala, Python, AWS Cloud technologies • 2+ years of experience across multiple Hadoop / Spark technologies such as Hadoop, MapReduce, HDFS, HBase, Hive, Flume, Sqoop, Kafka, Scala • Flair for data, schema, data model, how to bring efficiency in big data related life cycle. • Experience with Agile Development methodologies. • Experience with data ingestion and transformation • Have understanding for secure application development methodologies. • Experience in with Airflow and Python will be preferred. • Understanding of automated QA needs related to Big data technology. • Strong object-oriented design and analysis skills • Excellent written and verbal communication skills Responsibilities • Utilize your software engineering skills including Spark, Python, Scala to Analyze disparate, complex systems and collaboratively design new products and services • Integrate new data sources and tools • Implement scalable and reliable distributed data replication strategies • Collaborate with other teams to design and develop and deploy data tools that support both operations and product use cases • Perform analysis of large data sets using components from the Hadoop ecosystem • Own product features from the development, testing through to production deployment • Evaluate big data technologies and prototype solutions to improve our data processing architecture • Automate different pipelines Show more Show less

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