Senior Data Engineer
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Job Description
Role: Senior Data Engineer
Experience: 5 to 8 Years
Location: Bangalore
Notice Period: Immediate
Must Have : Data Bricks, Azure Cloud, Pyspark, Python, SQL, SAP S4, ECC, BW(functional knowladge), Data ingestion pipeline design for multiple source like sharepoint, SQL DB, API, SAP, SFDC etc.
- Proficiency in SAP data extraction tools and techniques, such as SAP Data Intelligence, SAP HANA, or SAP BW
Good to have- Metadata or control table data ingestion framwork, Airflow, DBT, AWS Databricks, Github, Azure Devops, Kafka, Event hub
More Info
Key Skills
Event hub
Data Bricks
Data ingestion pipeline design
SAP S4
About Company
Skills:
Github, T-sql, Data Modeling, Netsuite, Dimensional Modeling, Jira, Sql, Performance Tuning, Snowflake Schema
Skills:
snowflake , Typescript, Docker, Node.js, Sql, AWS, Aurora, GitHub Actions, TiDB
Skills:
Pyspark, Power Bi, Data Modeling, Data Lake, Sql, Nosql, Gcp, Data Visualization, AWS, Data schemas, Continuous delivery practices, Distributed storage platforms, Distributed processing platforms, Data pipelines
Skills:
Hadoop Ecosystem, Scala, Emr, HBase, Yarn, Mapreduce, Hortonworks, Sql, Spark Streaming, Hive, Spark, Cloudera, Oozie, Python, AWS, HDFS
Skills:
Java, Apache Flink, Scala, Sql, Apache Airflow, Docker, Apache Kafka, Rest Apis, Kubernetes, Python, Terraform, Json, Avro, Apache Nifi, cdc, ClickHouse, Debezium, CI CD, Dagster, Cloud platforms, Protobuf, Data observability and monitoring tools, Kafka Schema Registry, Prefect