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Our client is a leading global financial services firm providing a wide range of investment banking, securities, investment management, and wealth management services. This is an exciting opportunity for an experienced software & data engineer. You will join a team delivering the design & development of modern data management tools to curate important data sets, models, and processes while identifying areas for process automation and further efficiencies.
Position Type: Permanent
Mode of Interview: Virtual
Experience: 6 yrs - 10 yrs
Notice Period: Immediate
Skills: Hands-on experience in AWS Data Engineer, Databricks, SQL, Python, Unity Catalog
Please contact Radhika or email your cv directly in word format with job reference number: JOB 15949 to
ONLY CANDIDATES SERVING THE NOTICE PERIOD CAN SHARE YOUR UPDATED CV.
Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful.
[Confidential Information]Job ID: 144280837
Skills:
Apis, Pyspark, Microservices, Sql, Devops, Hive, Terraform, Docker, Spark, Shell scripting, Kubernetes, Python, Etl, Airflow, HDFS, Big Data Ecosystem, CI CD, Iceberg
Skills:
bedrock , Spark SQL, S3, Data Modeling, Emr, Programming, Redshift, Metadata Management, Lambda, Databricks, Python, AWS, AWS Cloud Services, Genie query performance indexing, DLT Pipelines, ER Dimensional Modeling, Security Role-Based Access Control, MLflow, Delta Lake Medallion Architecture, Unity Catalog, SQL Warehouse, PySpark Workbooks
Skills:
Sqlalchemy, T-sql, Vue, Pl Sql, Css3, Sql, Numpy, Django, React, Pandas, Javascript, Html5, Flask, FastAPI, Excel, Oracle, Python, Airflow, ETL Data Integration, Plotly, Bokeh
Skills:
Unix, Hadoop, Pyspark, Kafka, Bash, Sql, Hive, Linux, Spark, Databricks, Azure, Python, AWS, Airflow, NoSQL databases, vector databases, embedding models, Spark-Streaming
Skills:
snowflake , Java, S3, BigQuery, Scala, Apache Spark, Redshift, Sql, Gcp, Docker, Databricks, Apache Beam, Azure, Kubernetes, Python, AWS, HDFS
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