1 to 25 of 101 Permanent PySpark Jobs

contribute to team capability building Technical Stack Core: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Gen2 SQL Server Databricks Enhancements: Python (PySpark, Pandas) CI/CD (Azure DevOps) Infrastructure as Code (Terraform, Bicep) REST APIs GitHub Actions Desirable: Microsoft Fabric Delta Live Tables Power BI dataset ...

contribute to team capability building Technical Stack Core: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Gen2 SQL Server Databricks Enhancements: Python (PySpark, Pandas) CI/CD (Azure DevOps) Infrastructure as Code (Terraform, Bicep) REST APIs GitHub Actions Desirable: Microsoft Fabric Delta Live Tables Power BI dataset ...

Criteria Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory. Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing. Proven experience in CI/CD practices using industry-standard tools (e.g., GitHub Actions ...

system implementations improve service quality and accessibility for customers; What you'll need to succeed Knowledge/Qualifications - Expert-level SQL and Python (ideally PySpark).- A strong understanding of DataSecOps; experience with PII handling, data obfuscation, and RBAC (Role-Based Access Control).- Proven ability to design data ...

business teams while implementing data governance, version control, and quality assurance processes to ensure data integrity and usability. About you: Experience building and deploying PySpark notebooks in data warehousing environments, along with strong SQL skills for data transformation and modelling. Solid understanding of relational and dimensional data modelling techniques ...

Strong proficiency in SQL , including Spark SQL and MS SQL Server , for querying, data manipulation, and performance optimization. Hands-on experience with Python and PySpark for data processing, transformation, and automation tasks. Proven ability to design, build, and maintain scalable data pipelines for batch and streaming data using modern ...

technical architecture and detailed design. •Expertise in building scalable ingestion frameworks (batch/streaming) using ADF, Databricks or Fabric pipelines. •Strong programming skills in PySpark, SQL, Python. •Experience implementing medallion architecture, delta lakes, and metadata‐driven pipelines. •Hands-on experience with DQ frameworks, validation rules and reconciliation logic. •Ability ...

working with flexibility and autonomy Key Experience Deep end-to-end experience delivering enterprise Databricks analytics solutions Expertise in Lakehouse Architecture, Delta Lake, Spark, PySpark Strong data modelling skills (3NF, Kimball, Data Vault) Experience exposing Delta Lakehouse to Power BI or Tableau Skilled in Python, Scala ...

Experience* Proven experience delivering enterprise-scale Databricks solutions end-to-end.* Strong background in Lakehouse Architecture, including structured and unstructured data.* Expertise in Spark, PySpark, Delta Lake, and Databricks workflows.* Experience building scalable ETL/ELT pipelines, including Delta Live Tables.* Strong programming skills in Python, Scala, or SQL. ...

Experience* Proven experience delivering enterprise-scale Databricks solutions end-to-end.* Strong background in Lakehouse Architecture, including structured and unstructured data.* Expertise in Spark, PySpark, Delta Lake, and Databricks workflows.* Experience building scalable ETL/ELT pipelines, including Delta Live Tables.* Strong programming skills in Python, Scala, or SQL. ...

Engineer or in a similar role Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Strong proficiency in Spark SQL and PySpark , including complex transformations Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent Ability to write efficient, reusable scripts ...

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 ...

Control Practical experience with Git (branching, merging, pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark (using PySpark). Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage ). Exposure ...

Control Practical experience with Git (branching, merging, pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark (using PySpark). Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage ). Exposure ...

Proficiency in AWS Glue, Qlik Talend, DBT, Airflow, and modern data integration tools. Excellent knowledge of Python, SQL, PowerQuery (M), and preferably Scala or PySpark Working knowledge with enterprise architecture frameworks (e.g., TOGAF), MLOps, and BI tools like Power BI and QuickSight Experience of generative AI platforms (e.g., Amazon ...

backgrounds. The technology stack is flexible, but experience in some of the following are nice to have: Data Engineering & Programming: • Python • SQL • Spark/PySpark • Scala • Data modelling and warehousing concepts Cloud & Platforms: • AWS (S3, Redshift, Glue, EMR, Lambda) • Other cloud platforms (Azure/GCP considered) • Data lake ...

concept initiatives About You To be considered, you should have: Proven experience in a Data Engineering role Strong proficiency in SQL, Python and Spark (PySpark) Experience designing data models and implementing reliable pipeline patterns Knowledge of orchestration tools such as Airflow Experience with low-code or no-code integration ...

analytics and visualisation Collaborating with engineers, analysts and stakeholders in Agile delivery teams Tech stack SQL Python Azure or AWS Databricks/Spark/PySpark Data warehouses/lakehouse platforms CI/CD and modern engineering practices We're looking for someone who Has experience building production data pipelines ...

with various databases e.g. MS SQL, Azure Cosmos DB. Skilled at optimizing large and more complicated SQL statements. Proficiency in Python and experience with PySpark Experience of REST API standards. Proficiency in writing clean, readable, and secure code for Azure backend services, i.e. functions, utility functions etc. Experience ...

data workflows using Data Lakes and Logic Apps Write and maintain complex T-SQL queries, stored procedures, and optimised database logic Use Python and PySpark for distributed data processing and large-scale transformation within Fabric and cloud BI pipelines Ensure data accuracy, quality, and adherence to BI governance standards ...

code, with a genuine passion for software engineering in a data context. You'll work across the modern Azure data stack - ADF, ADLS Gen2, PySpark, Delta Lake - with increasing exposure to Microsoft Fabric as the platform matures. You'll collaborate closely with customers and internal teams to ensure data … architectural decisions, and help mentor junior engineers as the team scales. Responsibilities Architect and write production-grade ELT/ETL data pipelines using PySpark and Python within Azure ecosystem. Build custom, reusable data processing frameworks and libraries in Python/Scala to streamline ingestion and transformation tasks across ...

Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

experience required Strong experience in data engineering Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. ...