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- 1+ year Experience of designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of cloud data and analytics services in combination with 3rd parties.
- Hands-on experience with 1 or more of data Ingestion technologies like Azure Data Factory, GCP DataFlow, GCP Fusion, apache AirFlow, AWS Kinesis, AWS Glue, Apache Nifi, and Spark.
- Experience of designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture, using Java, Python, Scala, etc.
- Proven experience writing complex SQL queries, stored procedures, etc.
- Hands-on experience with 1 or more data transformation technologies like Spark, Hive, Azure Dataflow, Azure DataBricks, GCP data proc, GCP dataflow, AWS EMR, and AWS Glue.
- Experience with NoSQL data stores like HBase, Cassandra, etc.
- Hands-on experience with 1 or more of data storage and EDW technologies like AWS Redshift, GCP BigQuery, Azure Synapse, Azure Data Lake, AWS S3, google cloud storage, HDFS, Parquet, and ORC.
- Hands-on experience with 1 or more reporting technologies like AWS quick sight GCP data studio, Looker, PowerBI, Tableau, and Apache superset.
- Experience introducing and operationalizing self-service data preparation tools e.g. Alteryx, Data Prep, Trifacta, Paxata.
Responsibilities:
- Designing and implementing data transformation, ingestion, and curation functions on the cloud using cloud-native or custom programming.
- Designing and building production-grade data pipelines from ingestion to consumption within a hybrid big data architecture, using Java, Scala or Python
- Performing detailed assessments of current state data platforms and creating an appropriate transition path to GCP/Azure/AWS.
- Optimizing data pipelines for performance and cost for large-scale data lakes.
Skills
Job Details
Industry:
Functional Area:
Total Positions:
10 Posts
Job Shift:
First Shift (Day)
Gender:
No Preference
Minimum Education:
Bachelors
Degree Title:
Bachelor’s Degree in Computer Science/Computer Engineering
Career Level:
Experienced Professional
Experience:
1 Year - 3 Years
Apply Before:
Jun 27, 2021
Posting Date:
May 26, 2021
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