Big Data Databricks

3 weeks ago

Mumbai, India timesjobs Full time


Experience: 5 Years
Location: Bangalore, Mumbai, Pune, and Hyderabad

The primary purpose of this role is to translate business requirements and functional specifications into logical program designs and to deliver modules, stable application systems, and Data or Platform solutions. This includes developing, configuring, or modifying complex integrated business and/or enterprise infrastructure or application solutions within various computing environments. This role facilitates the implementation and maintenance of complex business and enterprise Data or Platform solutions to ensure successful deployment of released applications.
Qualifications
Minimum Qualifications

Bachelor's Degree in Engineering, Computer Science, CIS, or related field (or equivalent work experience in a related field)
5 years of experience in Data, BI, or Platform Engineering, Data Warehousing/ETL, or Software Engineering
5 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC) Data Engineering
5 years of experience in Hadoop or any Cloud Bigdata components (specific to the Data Engineering role)
Expertise in Python, SQL, Hadoop (Sqoop, Hive, Pig, Map Reduce), Spark (Spark Streaming, MLib), Kafka or equivalent Cloud Bigdata components (specific to the Data Engineering role)

Programming Languages: Scala / Python / Pyspark
Big Data Frameworks: Spark, Hadoop / HDFS / Hive / Sqoop / Oozie, Kafka, HBase or any other NoSQL Store
Good to Have: Streaming with Spark / Kafka, Cloud knowledge (AWS / Azure) Scheduling and creating workflows with Apache AirFlow

Excellent communication skills
Must have a very strong understanding of distributed computing concepts
Very good knowledge of pyspark / python / scala and dataframe APIs
Good understanding of Hive and usage with Spark
Good knowledge of data integration tools like Sqoop
Basic knowledge of shell scripting

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