76 to 100 of 325 PySpark Jobs

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

validation, enrichment, deduplication and lineage. Experience in using a range of tools and languages to access and retrieve data from the Data Lake. Python, PySpark, SQL. Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage. Additional Information At Version 1, we More ❯

2+ years in a senior role Deep expertise with AWS services (S3, Glue, Lambda, SageMaker, Redshift, etc.) Strong Python and SQL skills; experience with PySpark a bonus Familiarity with containerization (Docker), orchestration (Airflow, Step Functions), and infrastructure as code (Terraform/CDK) Solid understanding of machine learning model lifecycle More ❯

added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks More ❯

within the organization. Essential Technical Skills Experience in designing and developing data warehouse solutions. Building and configuring multistage Azure deployment pipelines Advanced SQL, Python, PySpark Azure Data Lake, Data Factory, Databricks and Functions Azure Data Lake Storage Gen2 Traditional ETL (Informatica, SSIS etc.) Azure Powershell/CLI Azure Key More ❯

A A B grades at A-level You have commercial Data Engineering experience working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You have a good understanding of modern data engineering best practices Ideally you will also have experience with Azure and Data Bricks More ❯