Senior Data Engineer
Senior Data Engineer
artech l.l.c.5-8 Years
- Posted an hour ago
- Be among the first 10 applicants
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:
Hadoop Ecosystem, Scala, Emr, HBase, Yarn, Mapreduce, Hortonworks, Sql, Spark Streaming, Hive, Spark, Cloudera, Oozie, Python, AWS, HDFS
Skills:
· 3–5 years of experience working with GCP, ReactJS and Python. · Strong SQL and data modelling experience on BigQuery or an equivalent cloud data warehouse. · Experience building ETL/ELT pipelines using GCP-native tools (Dataflow, or similar). · Python backend development (FastAPI or similar) and REST API design. · Experience with core GCP services: BigQuery, Secret Manager., Iam, Cloud Composer, Cloud Functions, Cloud Run
Early Applicant
Skills:
Pyspark, SAP, Sql Db, Sql, Sap Bw, Azure Cloud, Sap Hana, SFDC, SAP Data Intelligence, Api, Python, SAP S4 ECC BW, Data Bricks, Data ingestion pipeline design, Sharepoint
Skills:
snowflake , Python, Sql, MLops, Apis, Data Warehousing, Data Governance, Airflow, Go, Temporal, ETL processes, workflow-based systems, monitoring and observability tooling, dbt
Skills:
snowflake , Java, Hadoop, Scala, Kafka, Redshift, Sql, Hive, Kinesis, Spark, Python, dbt, MetricFlow