58 Job openings found

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 ...

•         Experience in advanced Apache Spark processing framework, spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting. •         Experience in working with Core Spark, Spark Streaming, Data Frame API, Data set API, RDD APIs & Spark SQL programming dealing ...

You will manage the pipelining (collection, storage, access), engineering (cleansing, feature creation / selection) and understanding (documentation, exploration) of the data; ? Acquire, create and manage innovative data assets for the team. These assets will draw from various sources – internal and external systems, flat files, databases and external APIs; ...

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

Job description for Consultant Data Engineer   We offer exciting career opportunities for professionals seeking to make a significant impact. Our diverse team represents a rich tapestry of talent, expertise, and cultural backgrounds.  environment that values collaboration, creativity, and continuous learning.. We work closely on global projects spanning various sectors, including manufacturing, gaming, ...