Kubernetes Administration Certified (CKA) with preferable experience in Kubernetes Services for Azure AKS environment.<br>
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Data Engineer <br> Technical skills - <br> Big Data, Hadoop, Spark, KAFKA, NO-SQL, mongoDB, python, RDBMS, SQL, data architecture & design patterns, data pipelines setup, AWS<br>
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Mandatory Skill Set:<br> • experience working with PostgreSQL, Logstash, Kafka, Spark, Python, JavaScript, Bash <br> • SQL, PL/pgSQL knowledge<br> • ‘big data’ data stores,<br> • Agile Software Development methodologies<br>
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Understands logical and physical data models at an expert level
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Working on maintenance, improvement, cleaning, and manipulation of data in the business databases. Tracking data points to identify customer base.<br>
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Strong skills in Embedded C and Python Programming. Expertise on controlling the Test equipment and DUT SoC Board using NI TestStand and Labview
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Opening For Data Engineer<br> Location : Gurgaon<br> Exp- 5 to 9 years total
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3+ years work experience in data engineering<br> Experience working with Cassandra database in a clustered<br> production environment<br> Substantial experience with the use of relational databases<br> primarily PostgreSQL. Having used for data extraction,<br>
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Strong hands-on experienceof between 3 and 5 years with Python and other scripting languagesis mandatory<br> Exposure with ETL tools and processes<br> Experience with SQL and/or noSQL databases (e.g. Mongo) – min. 2 years is mandatory
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Azure Data Engineer
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URGENT HIRING FOR NETWORK ENGINEER - DATA CENTER FOR CHENNAI LOCATION.
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We are looking immediate joiners for Data Engineer wtih Pyspark who got expereince in data lake environment.<br> Work from home position. Salary no bar
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As a Senior Data Engineer, you will design, develop and maintain state-of-the-art data analysis platform. You understand your daily tasks as part of delivering a great system not as tickets to be delivered in a sprint.
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Data Engineer with ADB- 4+years<br> Work Location - Hyderabad<br> NP - Max 20 Days<br>
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Minimum 2-3 years on Big data development or Production support or Customer support experience (Mandatory)<br>
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Urgent job need for one of Fortune 500 IT MNC client for a talented Data Engineer. Preference to candidates available to join at short notice. Work from Home Opportunity. Package no bar for the right candidate.
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We have opening for Big data engineer @ PAN INDIA
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About the role:<br> As a Data Engineer, you will build a variety of big data analytics solutions, including big data lakes. More specifically, you will:<br> • Design and build scalable data ingestion pipelines to handle real time streams, CDC events, and bat
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3+ years of experience in developing Big Data applications<br> Experience in large-scale Big Data & Analytics applications<br> Hands on experience in using technologies like Spark, Scala, Python and Java<br> Strong problem-solving skills, data structures <br>
Big Data, Python/Scala, Spark with ML.<br>
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Deep experience with building and managing execution of data projects<br> Experience with data architecture and ticketing requirements for actionable work<br> Experience with ETL systems required
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We are looking for a passionate and highly skilled data engineer to build and maintain financial analytics solutions based on Azure Modern Data Warehouse Architecture.
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Azure (very much experienced)<br> <br> Power-BI (Creating Dashboard) (In power Bi 2 year experience will also work)<br> <br> ETL- SSIS<br> <br> Data Modelling, Schemas<br> <br> Data warehousing<br> <br> Azure Native Services<br> <br> Azure Data Factory, Data Lake<br> <br> SQL Server
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Data Engineer/ Quant Developer with experience in trading analysis and trading algorithms.
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'• Utilize statistical and analytical techniques to quantify KPI and metrics using systems of data<br> • Understand complex data system by working closely with engineering and product teams<br> • Perform data cleaning, integration, validation andanalysis<br>
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Must have worked in a financial/banking organization for 4-8 years in Data Engineering domain.
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The ideal candidate shall have 7-10 years experience as an evangelist & Data Engineer in Informatica, ETL and Teradata involving ETL data modelling, Architecture development and testing. The global client is a market leader in Banking, Insurance
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