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Senior Data Engineer
2 months ago
Location: Noida/ Chennai
Experience: 4-8 years
Skillset: Spark, Scala and Hadoop
Required Skills:
Strong expertise of programming languages –Scala
Hands-on experience in Spark including Data frame core functions SparkSQL, Spark Streaming and with HIVE, Hadoop, Kafka, YARN.
Good Experience in big data cloud platform, preferably Azure, Databricks and coding with notebooks.
Airflow, Apache NiFi processing and manipulating data using SQL and Python code.
Professional experience implementing data ingestion pipelines using Data Factory.
Building and optimizing data pipelines, architectures, and data sets.
Working knowledge of queueing, stream processing, and highly scalable data stores
User training, customer support, and coordination with cross-functional teams.
Writing database-heavy services or APIs.
Strong understanding of structuring code for testability.
Should be able to perform estimations, lead the team technically, Monitoring & Tracking of activities.
Should be able to coordinate and communicate well with customer.
Good to have:
Professional Data Engineer Certifications in Data Bricks.
Familiarity with GIT workflow, CI/CD Pipelines.
Working Knowledge of Azure DevOps environment.
Experience of Agile practices & methodologies.
Experience on Migration projects (Scala/PySpark).
Flexibility to work in both support and development projects