22 jobs found for Data Engineer

Job role : Python Data Engineer Python Data Engineering (Numpy, Pandas) Must HaveData Pipeline, Data Flow, Data Engineer

Role:  Data Engineer Job DescriptionDesign, build, and maintain distributed batch and real-time data pipelines and data models.Facilitate real-life actionable use cases leveraging our data with a user- and product-oriented mindset.Be curious and eager to work across a variety of engineering specialties (i.e., Data Science, and Machine Learning to name a few).Support teams without data engineers with building decentralized data solutions and product integra

Position: Specialist, Database Administrator (Data Engineer) Location: Mumbai, India About LRN Do you want to use your engineering expertise to help people around the world do the right thing? Join us at LRN to be a part of a global company where you can make an impact. LRN is a SaaS based e-Learning provider with a presence across US, EMEA, APAC and LatAm. More than 2,800 companies worldwide (including some of the world’s most recognizable brands) utilize

Data Analyst

DB design knowledge (Postgres SQL), Data model creationAzure Data Factory experience Knowledge on Azure data lake and data bricks

ob DescriptionPrincipal - Data EngineerBengaluru JOB DESCRIPTIONRoles and Responsibilities:• Proven experience in data mapping, data integration, ETL processes, or similar roles.• Proficiency in data modeling, SQL, and data transformation tools.• Strong understanding of data governance, data quality, and best practices in data management.• Familiarity with ETL tools (e.g., Informatica, Talend, Microsoft SSIS) and integration platforms.• Excellent problem-s

Data Engineer

Position: Sr Data EngineerExp : 7+ YearsLocation: Kolkata (Sector V)Qualification: Bachelor’s degree About Our Client:It is a banking and financial services company, headquartered in Kolkata. Job Description: Key ResponsibilityRequired candidates with 8-11 years of experience in Big DataRelevant experience working on production grade projects experience in hands on, end to end development.Exposure in application, data and infrastructure architecture discip

  Proven experience as a Data Engineer Understanding of Data modeling, Data processing, Data Cleaning (Tableau/ Alteryx )  ADF, Synapse, Knowledge and experience in working with finance and accounting  Background in data warehouse design (e.g. dimensional modeling) and data mining  Familiarity with BI technologies (e.g. Tableau, Microsoft Power BI,)  Knowledge of SQL queries, SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SS

experience in data manager role

BS in Engineering (Chemical) with minimum of 5 years prior experience as Data Engineer level role or BS in Computer Science with minimum of 5 years prior experience in Chemical ManufacturingKnowledge and/or experience with data acquisition, preparation, and validation. Good knowledge and experience in handling large volume data sets using Programming languages (python, SQL & other script languages) & various ML models to develop predictive models to make o

4+ Years experience in ETL and Dataware house Sstems. Experience with AWS Cloud Services like, S3, EMR, Lambda, Redshift,Glue, Athena Good experience with SQL, No SQL Database. Knowledge in Big Data Technologies, Hadoop, hive, Spark, pyspak, Good experience with multiple scripting languages like, python, jscript, etc.  

snow flask

AWS Data EngineerExperience - 6-10 YearsLocation - Gurgaon Required:Qualifications/Required: • Bachelor’s Degree in computer science or related STEM field • Experience with relational database systems like MS SQL Server, Oracle, Teradata • Excellent O/S knowledge and experience in Linux or Windows with basic knowledge of the other • MCSE/RHCE or equivalent level of knowledge preferred • Experience of implementing and supporting AWS based instances and serv

➢ 5+ years of experience as a data engineer or data scientist with a focus on data engineering and ETL jobs.➢ Well versed with the concept of Data warehousing, Data Modelling and/or Data Analysis.➢ Experience using & building pipelines and performing ETL with industry-standard best practices on Redshift (more than 2+ years).➢ Ability to troubleshoot and solve performance issues with data ingestion, data processing & query execution on Redshift.➢ Good under

Gather and process raw data at scale. Defining data retention policies. Work closely with our data science team (ad hoc analysis of the data). Acquire data from primary or secondary sources and maintain databases/systems. Create data sets and tables to store data. Work on data Analysis, modeling and architecture.Make and test database schema changes when needed. Identify user needs to create and administer the data lake. Ingest and move data between databa

Skills & Experience ·         Experience in designing and hands-on development in cloud-based analytics solutions. ·         Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, Azure Analysis Server, and Azure SQL DW is required. ·         Designing and building of data pipelines using API ingestion methods. Rich Experience in with MS SQL Database Packages, Stored procedure, Functions, procedures, Triggers and data

Data EngineerKey ResponsibilityRequired candidates with >16 years of experience in Big DataRelevant experience working on production grade projects experience in hands on, end to end development.Exposure in application, data and infrastructure architecture disciplinesUnderstanding the designing data integrations using ETL and other data integration patternsResponsible for execution and development of integration solutions with Hadoop/HDFS, Real-Time System

Responsibilities:Experience with building data pipelines using Talend and related AWS servicesCreate ETL jobs to extract data from multiple data sources , cleanse , transform  and load data into target data stores.Developing and publishing Talend JobsPerform quality assurance on generated results to ensure accuracy and consistencyIntegrate data from data sources such as databases, csv ,xml files etc in batch and real time.Build Complex transformations usin

Hadoop EcosystemApache SparkApache AirflowStrong in SQLPython / ScalaGood in ETL Soft skills:-Strong analytic skillsIndependent thinker, willing to engage, challenge and learn new technologies.Good communication skills

Role: Data Science Engineer ResponsibilitiesProcess, analyze, and create visualizations for both structured and unstructured dataDesign and maintain algorithms for predictive modeling and recommendationsCollaborate with data engineers, product managers, and stakeholders to build robust production systemsRequired QualificationsBachelors in a quantitative field such as Computer Science, Mathematics, Statistics, Machine Learning, or equivalentExcellent verbal

Job Description:Looking for a Microsoft Azure Expert in Data, who will deliver consulting/design services in this field.The main responsibilities are to:•    Act as a trusted advisor for our clients by designing and building analytics cloud solutions to enable better outcomes•    Deliver architectures for transformation and modernization of enterprise data solutions using Azure cloud data technologies•    Analyze current business practices, processes, and