Amiga Informatics’ Post

Hello LinkedIn Family, We are currently #hiring for the following positions. If your profile matches any of these roles, please share your CV with us. Kindly indicate the position you are applying for in the subject line. -𝐀𝐖𝐒 𝐒𝐫. 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧- Remote 𝐌𝐮𝐬𝐭-𝐇𝐚𝐯𝐞: 1. 7-10 years of experience using AWS Data Landscape and data Ingestion pipeline. 2. Able to understand and explain the data ingestion from different sources like file, database, applications etc. 3. Build and enhance the Python, PySpark Based Framework for ingestion. 4. Data engineering experience in AWS Data Services like Glue, EMR, Airflow, CloudWatch, Lambda, Step functions, Event triggers. 5. Able to work as a senior engineer with sole interaction point with different business functional teams. -𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧- Mumbai 𝐌𝐮𝐬𝐭-𝐇𝐚𝐯𝐞: Experience 3+ years  1. Implement data ingestion processes to extract data from various sources, including databases, APIs, and streaming platforms. 2. Develop and maintain Extract, Transform, Load (ETL) pipelines using AWS Glue, AWS Lambda, or custom scripts. 3. Perform data cleansing activity such as removing spaces, upper/lower, drop duplicate data, Renaming columns, etc. 4. Data Transformation with PySpark, Python and SQL. 5. Configure and optimize storage systems such as Amazon S3, Amazon Redshift, or Amazon DynamoDB to meet performance, scalability, and cost requirements. 6. Performance tuning of long running PySpark or SQL queries. 7. Monitor data pipelines, storage systems, and processing jobs to identify performance bottlenecks, data quality issues, and potential failures. 8. Optimize data processing workflows and infrastructure configurations to improve performance, reliability, and cost efficiency. 𝐀𝐩𝐩𝐥𝐲 𝐇𝐞𝐫𝐞: https://bit.ly/47U31rY Please fill out this form and let us know once you have submitted it. #hiring #hiringnow #jobalert #vayuz #job #dataengineer #jobhiring Priya Pal Suhani Singh Yashna Bansal

Dear Connections, Hiring!!!! We are hiring for #AzureDataFactory Support role for an MNC Client, Let's Connect and share your resume to Mentioned Email ID or Comment to better reach, Saibabu Alla 📩: sai.a@s3staff.com Job Title : Azure Data factory-Support Engineer Experience Needed: 3 - 5 years Location: Hyderabad  Notice Period: Immediate Joiners Job Type: Full Time Note - Starting 8 Months Could be Work On Night Shifts Job Description: · Experience in designing and hands-on development in cloud-based analytics solutions. . Having 1-2 years of experience in Azure cloud services . Having experience in Azure resources like Azure Data Factory, Azure Synapse Analytics, Azure Blob, ADLS, Azure Data Lake . Storage Gen1 and Gen2, Logic Apps, Key Vault, Azure SQL DB and Synapse . Hands-on experience in Azure Data factoryand its Core Concept's like Linked Services, Datasets. . Data Flows, Pipelines, Activities and Triggers, Integration Runtime, Self-Hosted Integration Runtime. . Designed and developed data ingestion pipelines from on-premises to different layers into Azure Built Dataflow transformations. . Worked on Copy Data activity, Get Metadata Activity, look up, Filter, Store Procedure, For-each, IF and execute Pipeline activities . Implemented dynamic pipeline to extract the multiple files into multiple targets with the help of single pipeline. . Strong Knowledge on Parameterization of Linked Services, Datasets Pipelines, Activities. . Pipeline execution methods (Debug vs Triggers). . Experience in scheduling the pipelines and monitoring the pipelines through the monitor tab. . Experience in creating alerts on the pipelines level and activity level. . Stack (Including Compute, Function App, Blobs, Resource Groups, Azure SQL, Cloud Services, and ARM), Focusing on high - availability, fault tolerance, and auto-scaling. . Performed custom activity using python, C#.net for unsupported task in Azure Data Factory V2. Customer support: . Strong customer engagement skills to understand customer needs for Analytics solutions fully. . Experience in leading small and large teams in delivering analytics solutions for customers. . Have demonstrated ability to define, develop and implement data models and supporting policies, standards, and guidelines. . Strong problem solving and troubleshooting skills azure cloud services with azure resources like ADF or azure synapse or azure data or azure Blob or adls mandatory skill Azure SQL DB #microsoftazure #azuredatafactory #databricks #adfsupport

Dear Connections, Hiring!!!! We are hiring for hashtag #AzureDataFactory Support role for an MNC Client, Let's Connect and share your resume to Mentioned Email ID or Comment to better reach, Mukesh Sunchu 📩: mukesh.s@s3staff.com Job Title : Azure Data factory-Support Engineer Experience Needed: 3 - 5 years Location: Hyderabad Notice Period: Immediate Joiners Job Type: Full Time Note - Starting 8 Months Could be Work On Night Shifts Job Description: · Experience in designing and hands-on development in cloud-based analytics solutions. . Having 1-2 years of experience in Azure cloud services . Having experience in Azure resources like Azure Data Factory, Azure Synapse Analytics, Azure Blob, ADLS, Azure Data Lake . Storage Gen1 and Gen2, Logic Apps, Key Vault, Azure SQL DB and Synapse . Hands-on experience in Azure Data factoryand its Core Concept's like Linked Services, Datasets. . Data Flows, Pipelines, Activities and Triggers, Integration Runtime, Self-Hosted Integration Runtime. . Designed and developed data ingestion pipelines from on-premises to different layers into Azure Built Dataflow transformations. . Worked on Copy Data activity, Get Metadata Activity, look up, Filter, Store Procedure, For-each, IF and execute Pipeline activities . Implemented dynamic pipeline to extract the multiple files into multiple targets with the help of single pipeline. . Strong Knowledge on Parameterization of Linked Services, Datasets Pipelines, Activities. . Pipeline execution methods (Debug vs Triggers). . Experience in scheduling the pipelines and monitoring the pipelines through the monitor tab. . Experience in creating alerts on the pipelines level and activity level. . Stack (Including Compute, Function App, Blobs, Resource Groups, Azure SQL, Cloud Services, and ARM), Focusing on high - availability, fault tolerance, and auto-scaling. . Performed custom activity using python, C#.net for unsupported task in Azure Data Factory V2. Customer support: . Strong customer engagement skills to understand customer needs for Analytics solutions fully. . Experience in leading small and large teams in delivering analytics solutions for customers. . Have demonstrated ability to define, develop and implement data models and supporting policies, standards, and guidelines. . Strong problem solving and troubleshooting skills azure cloud services with azure resources like ADF or azure synapse or azure data or azure Blob or adls mandatory skill Azure SQL DB hashtag #microsoftazure #azuredatafactory #databricks #adfsupport

Hello community, Watsonite is hiring for one of the leading clients. Anyone interested pls share your resume to archana.cr@watsonite.com Years of exp - 8+ years Location - Banglore Mode - Hybrid Role - Lead Software Engineer Job description: QUALIFICATIONS  Strong experience (~8+ years) in developing and supporting cloud operations, especially on Azure and as needed with AWS cloud  Using Terraform to develop modules to enable cloud-based deployment framework. Hence, hands-on experience on Terraform is a must  Must have flair for automation – Must be well-versed with any of the following scripting languages: Python/Shell scripting/Powershell/Java Script  Must have aptitude to evaluate new cloud services and develop new modules.  Experience building CI/CD pipelines in a cloud environment, especially on Azure and as needed with AWS cloud  Exposure to Data engineering:  Big Data Ecosystems: Spark, Kafka with Streaming and Batch Analytics  Strong skills in writing SQL queries (RDBMS/Warehouse/NoSQL/Data Lake/ Delta lake).  Databricks tools  Experience in working on GIT (or equivalent source control)  Must have the ability to collaborate with stakeholders/teams to understand requirements and develop a working solution  Ability to work within tight deadlines and effectively prioritize and execute tasks in a high-pressure environment.  Must be able to mentor and lead/review work of junior software engineers.  Hands-on experience in deploying infrastructure on AWS and other Public Clouds.  Experience in working with AWS CLI/ Azure CLI/Azure Powershell.  Prior working experience on Jenkins/GoCD/Nexus/BitBucket.  Object oriented and Functional programming experience. #dataengineer #datascience #python #datascientist #data #dataengineering #dataanalytics #bigdata #cat #machinelearning #dataanalysis #pythonprogramming #artificialintelligence #hadoop #devops #deeplearning #bigdataanalytics #datasciencetraining #cloudcomputing #datavisualization #computerscience #coding #dataanalyst #programminglife #bigdatatechnologies #ai #sql #pythonlearning #nosql #rprogramming

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Dear #Techies, HIRING!!!! We are Hiring for an MNC client, Let's Connect and Share your resume at mentioned Email ID comment for better reach Saibabu Alla 📧 : sai.a@s3staff.com -Kindly Share this post with your Techie friends and Help me connecting more people, Job Title : Azure Data factory-Support Engineer Experience Needed: 3 - 5 years Location: Hyderabad  Notice Period: Immediate Joiners * Starting 8 Months Could be Work On Night Shifts * Data movement Description: Roles and Responsibilities: · Experience in designing and hands-on development in cloud-based analytics solutions. Having 1-2 years of experience in Azure cloud services Having experience in Azure resources like Azure Data Factory, Azure Synapse Analytics, Azure Blob, ADLS, Azure Data Lake Storage Gen1 and Gen2, Logic Apps, Key Vault, Azure SQL DB and Synapse Hands-on experience in Azure Data factoryand its Core Concept's like Linked Services, Datasets. Data Flows, Pipelines, Activities and Triggers, Integration Runtime, Self-Hosted Integration Runtime. Designed and developed data ingestion pipelines from on-premises to different layers into Azure Built Dataflow transformations. Worked on Copy Data activity, Get Metadata Activity, look up, Filter, Store Procedure, For-each, IF and execute Pipeline activities Implemented dynamic pipeline to extract the multiple files into multiple targets with the help of single pipeline. Strong Knowledge on Parameterization of Linked Services, Datasets Pipelines, Activities. Pipeline execution methods (Debug vs Triggers). Experience in scheduling the pipelines and monitoring the pipelines through the monitor tab. Experience in creating alerts on the pipelines level and activity level. Stack (Including Compute, Function App, Blobs, Resource Groups, Azure SQL, Cloud Services, and ARM), Focusing on high - availability, fault tolerance, and auto-scaling. Performed custom activity using python, C#.net for unsupported task in Azure Data Factory V2. Customer support: Strong customer engagement skills to understand customer needs for Analytics solutions fully. Experience in leading small and large teams in delivering analytics solutions for customers. Have demonstrated ability to define, develop and implement data models and supporting policies, standards, and guidelines. Strong problem solving and troubleshooting skills azure cloud services with azure resources like ADF or azure synapse or azure data or azure Blob or adls mandatory skill Azure SQL DB #Immediatehiring #azuredatafactory #mncjobs #microsoft

Good opportunity

Hello Connecctions, DCTS is hiring for DE Lead Experience:- 7 – 9 Yrs Location:- Bangalore : Monday – Thursday (WFO) & Friday WFH – Novel Tech park – Kudlu Gate Primary Skills:- • 4 to 8 years of total IT experience with 2+ years in big data engineering and Microsoft Azure  • Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database  • A comprehensive foundation with working knowledge of Azure Full stack, Event Hub & Streaming Analytics.  • A passion for writing high-quality code and the code should be modular, scalable, and free of bugs (debugging skills in SQL, Python, or Scala/Java).  • Enthuse to collaborate with various stakeholders across the organization and take complete ownership of deliverables. • Experience in using big data technologies like Hadoop, Spark, Databricks, Airflow, Kafka. • Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV.  • Good knowledge of building and designing REST APIs with real-time experience working on Data Lake/Lakehouse projects.  • Experience in supporting BI and Data Science teams in consuming the data in a secure and governed manner.  • Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are a valuable addition. Job Responsibilities :- As a Big Data Engineer (Azure), you will build and learn about a variety of analytics solutions & platforms, data lakes, modern data platforms, data fabric solutions, etc. using different Open Source, Big Data, and Cloud technologies on Microsoft Azure.  • Design and build scalable & metadata-driven data ingestion pipelines (For Batch and Streaming Datasets)  • Conceptualize and execute high-performance data processing for structured and unstructured data, and data harmonization.  • Schedule, orchestrate, and validate pipelines.  • Design exception handling and log monitoring for debugging  • Ideate with your peers to make tech stack and tools-related decisions.  • Interact and collaborate with multiple teams (Vendors/Consultants/Data Science & Dev team) and various stakeholders to meet deadlines, to bring Analytical Solutions to life.  • Should be able to understand complex architectures and be comfortable working with multiple teams. Experience with:- Microsoft Azure implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database Azure Full stack, Event Hub & Streaming Analytics SQL, Python, or Scala/Java) Hadoop, Spark, Databricks, Airflow, Kafk Delta Lake, Avro, Parquet, JSON, and CSV Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) Please share your cv to kirti@deltaclasstech.com if you are looking forward for this role. NP :- below 30days #immediatejoiners #immediatehiring #bangalorejobs #karnataka #urgenthiring Thank You Kirti V

Dear Connections, I'm Sai Babu, Acquisition Specialist I'm reaching out to you might be interested in the below opportunity, please find the job description and share your updated resume to the following mail to process in further. Job Title : Azure Data factory-Support Engineer Experience Needed: 3 - 5 years Location: Hyderabad  Notice Period: Immediate Joiners Job Description: · Experience in designing and hands-on development in cloud-based analytics solutions. Having 1-2 years of experience in Azure cloud services Having experience in Azure resources like Azure Data Factory, Azure Synapse Analytics, Azure Blob, ADLS, Azure Data Lake Storage Gen1 and Gen2, Logic Apps, Key Vault, Azure SQL DB and Synapse Hands-on experience in Azure Data factoryand its Core Concept's like Linked Services, Datasets. Data Flows, Pipelines, Activities and Triggers, Integration Runtime, Self-Hosted Integration Runtime. Designed and developed data ingestion pipelines from on-premises to different layers into Azure Built Dataflow transformations. Worked on Copy Data activity, Get Metadata Activity, look up, Filter, Store Procedure, For-each, IF and execute Pipeline activities Implemented dynamic pipeline to extract the multiple files into multiple targets with the help of single pipeline. Strong Knowledge on Parameterization of Linked Services, Datasets Pipelines, Activities. Pipeline execution methods (Debug vs Triggers). Experience in scheduling the pipelines and monitoring the pipelines through the monitor tab. Experience in creating alerts on the pipelines level and activity level. Stack (Including Compute, Function App, Blobs, Resource Groups, Azure SQL, Cloud Services,and ARM), Focusing on high - availability, fault tolerance, and auto-scaling. Performed custom activity using python, C#.net for unsupported task in Azure Data Factory V2. If anyone Intrested Please share your updated resume to sai.a@s3staff.com #immediatehiring #azuredataengineer #mncjobs #azuredatafactory #datalake

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