Posted 1mo ago

Engineer - Product and Platform Engineering

@ Altimetrik
Hyderabad, Telangana, India
OnsiteFull Time
Responsibilities:design data tools, analyze data, deploy features
Requirements Summary:5-30 years of experience in enterprise software with Hadoop/Spark ecosystem, Scala, Python, AWS, Airflow; Agile; data ingestion and transformation; secure development practices.
Technical Tools Mentioned:Spark, Hadoop, Scala, Python, AWS, Airflow, Hive, Kafka, MapReduce, HDFS, HBase, Sqoop, Flume
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Job Description

Hiring Manager

Nayak, Ujjawal

Role

Big Data Engineer

Skill Level

MID

Location (Country)

India

Job Responsibilities

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

Required Qualifications

BS degree in computer science, computer engineering or equivalent • 4-7 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