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Senior Data Engineering Role - Google Cloud Platform with Spark
A LEADING US BASED MNC
Senior Data Engineering Role - Google Cloud Platform with Spark
A LEADING US BASED MNC's logo

Senior Data Engineering Role - Google Cloud Platform with Spark

at A LEADING US BASED MNC

Agency job
5 - 10 yrs
₹14L - ₹15L / yr
Bengaluru (Bangalore), Hyderabad, Delhi, Gurugram
Skills
Google Cloud Platform (GCP)
Spark
PySpark
Apache Spark
"DATA STREAMING"

Data Engineering : Senior Engineer / Manager


As Senior Engineer/ Manager in Data Engineering, you will translate client requirements into technical design, and implement components for a data engineering solutions. Utilize a deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution.


Must Have skills :


1. GCP


2. Spark streaming : Live data streaming experience is desired.


3. Any 1 coding language: Java/Pyhton /Scala



Skills & Experience :


- Overall experience of MINIMUM 5+ years with Minimum 4 years of relevant experience in Big Data technologies


- Hands-on experience with the Hadoop stack - HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.


- Strong experience in at least of the programming language Java, Scala, Python. Java preferable


- Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc.


- Well-versed and working knowledge with data platform related services on GCP


- Bachelor's degree and year of work experience of 6 to 12 years or any combination of education, training and/or experience that demonstrates the ability to perform the duties of the position


Your Impact :


- Data Ingestion, Integration and Transformation


- Data Storage and Computation Frameworks, Performance Optimizations


- Analytics & Visualizations


- Infrastructure & Cloud Computing


- Data Management Platforms


- Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time


- Build functionality for data analytics, search and aggregation

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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