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Skills - Experience and Requirements - A successful Architect will have the following:
Should have prior experience in working as a Data Warehouse/Big Data Architect.
Experience in advanced Apache Spark processing framework, spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting.
Should have experience in both functional programming and Spark SQL programming dealing with processing terabytes of data.
Specifically, this experience must be in writing Big Data data engineering jobs for large scale data integration in AWS. Prior experience in writing Machine Learning data pipeline using Spark programming language is an added advantage.
Advanced SQL experience including SQL performance tuning is a must.
Should have worked on other big data frameworks such as MapReduce, HDFS, Hive/Impala, AWS Athena.
Experience in logical & physical table design in Big Data environment to suite processing frameworks.
Knowledge of using, setting up and tuning resource management frameworks such as Yarn, Mesos or standalone spark.
Experience in writing spark streaming jobs (producers/consumers) using Apache Kafka or AWS Kinesis is required.
Should have knowledge in variety of data platforms such as Redshift, S3, Teradata, HBase, MySQL/Postgres, MongoDB
Experience in AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloud watch and Data pipeline.
Must have used the technologies for deploying specific solutions in the area of Big Data and Machine learning.
Experience in AWS cloud transformation projects are required.
Telecommunication experience is an added advantage.
Full Time
$118k-149k (estimate)
05/18/2024
05/20/2024
The job skills required for Data Architect (Big Data Architect) include SQL, Data Warehouse, AWS, Python, Big Data, Data Integration, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Architect (Big Data Architect). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Architect (Big Data Architect). Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Architect (Big Data Architect) positions, which can be used as a reference in future career path planning. As a Data Architect (Big Data Architect), it can be promoted into senior positions as a Data Architect IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Architect (Big Data Architect). You can explore the career advancement for a Data Architect (Big Data Architect) below and select your interested title to get hiring information.