66 Job openings found

Job Summary Hands-on experience with writing Spark or Map-Reduce jobs and proficient understanding of distributed computing principles. Proficient in more than one of Python, Java, Scala & Shell-Scripting. Job Responsibilities: Understand & provide innovative solutions to business and product requirements using Big Data Architecture Take ownership of end-to-end data-pipeline including system design and integrating ...

  Please find the details below   Position : Data Engineer Location :Bangalore (Hybrid office TUE and THU) Experience requirement : 5+ Years  Joining Date : Immediate to 30 days    Job Description  5+ years of experience delivering solutions utilizing the entire Microsoft BI (SSIS,SQL) 5+ years of experience working in a data warehouse environment and a strong understanding of dimensional data modelling concepts  Additional ...

SKILL TITLEAzure Data Bricks KEY SKILLS ( MANDATORY)Azure Data Bricks (Mim realvent exp 5+ yrs) JOB DESCRIPTION (DETAILED)Should have 10+ years of experience, minimum 8+ in Data engineering and Analytics with Microsoft cloud technologies.Expertise to Implementing Data warehousing Solutions. experience as Data Engineer in Azure Data Bricks with design and solutioning.Strong Programming experience ...

Project Role : Application Developer  Project Role Description : Design, build and configure applications to meet business process and application requirements.                                                            ...

Must to Have • We are looking for good resource who has very good experience on Azure Data Lake, Azure Data Factory, Azure Data Bricks (Pyspark) and Azure Synapse • Resource should have knowledge about source systems like Sales Force/ Oracle ERP/SAP Ariba etc and should have worked on the integrations with ...

Design, build, test, and maintain data pipelines as part of data migrations and data warehousing projects (using Fabric, Synapse, ADF or Databricks) Design, build, test, and maintain data integrations between diverse systems such as Dyamics, legacy databases and SaaS applications (using Function Apps, Logic Apps and Notebooks) Build automation adhering to established ...

Data Engineer   Job Description: - Having experience in Analysis, Design, Development, Testing, Customisation, Bug fixes, Enhancement, Support and Implementation using Python, spark programming. - Worked on AWS environments such as lambda, server-less applications, EMR, Athena, Glue, IAM policies, roles, S3,CFT and Ec2. - Developed Python and Pyspark programs for data analysis. ...

Experience: 12-22 years Job Location: Any Tech Mahindra Location India No of Positions: 7 to 8 Notice Period: 0-60 Days Only Budget: up to 60 LPA   Job Description: 12 to 22 years of experience in Data Analytics spread across on-premise & cloud implementations Experience in one of the cloud platforms – Google Cloud, Azure, AWS or Snowflake ...

Analyse and organize raw data Build data systems and pipelines Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop, implement and optimize stored procedures and functions using T-SQL Analyse existing SQL queries for performance improvements Develop procedures and scripts for data migration Provide timely scheduled management reporting Research ...

Scala, Spark, Apache Sqoop, Cloudera, Unix Shell scripting, CAAS. Experience: 4-6 years At least four years of data engineering experience working with sophisticated data pipelines using Spark , Scala , Apache Sqoop, Cloudera , Unix Shell scripting and CAAS.   Scala, Spark, Apache Sqoop, Cloudera, Unix Shell scripting, CAAS. Experience: 4-6 years At least four years of ...