Desired Skills & Experience:
10+ years of total IT experience including 5+ years of Big Data(Spark) experience
Experience in Spark Batch & Streaming, Kafka, Spark SQL, Hive, SQOOP, HBase and Java/Scala are must. PySpark preferred though a good Spark Scala talent can be considered.
Experience in architecting and designing large scale ETL workload migration from traditional ETL (Ab Initio / Informatica) to Spark
Sound concepts of Data warehousing and ETL. Ability to understand mapping document and translate the same to Spark SQL programs
Hands on functional programming like Scala, Java 8 prior to Big Data projects, having python knowledge is an added advantage.
Experience in designing and leading Big Data projects, designing data models on Hive and HBase for high-performance and storage.




Executed multiple Hadoop data lake projects (batch & streaming real time data) and led the developers’ team.
Proficient in Linux/Unix scripting.
Experience in Agile methodology is a must.
Knowledge of standard methodologies, concepts, best practices, and procedures within Amazon EMR Big Data workplace is a plus.
Self-starter and able to independently implement the solution.
Positive problem-solving techniques and communication
Knowledge on Informatica BDM is a plus
Sound knowledge of SQL Programming (Positive knowledge of Teradata or Db2 or Netezza or Oracle)

📌 Big Data Developer Java & Spark Dev Secunderabad (India)
🏢 Labq Global Technologies
📍 India