Saibabu Alla’s Post

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

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

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

Dear #Techies, We are Hiring for #AzureDataFactory for an MNC client, Let's Connect and Share your resume at mentioned Email ID comment for better reach G.Divya Keerthana 📧 : keerthana.g@s3staff.com -Kindly Share this post with your Techie friends and Help me connecting more people, Job Title : ADF Experience: 3 to 5 yrs Location: Hyderabad Notice Period: Immediate to 15 Days 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 Data Flow 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. #ADF #Azure #Datafactory #blobstorage #Azuresynapse #Azuresql #immediatejoiners #mnchiring #Azurejobs #ADFjobs

#DatabricksArchitect #Atlanta, #GA (#Hybrid) 14+ #FullTime #fulltimeposition #fulltimeemployee In this role, the Databricks Architect is responsible for providing technical direction and lead a group of one or more developer to address a goal.   Resp: • Architect and design solutions to meet functional and non-functional requirements. • Create and review architecture and solution design artifacts. • Evangelize re-use through the implementation of shared assets.   • Enforce adherence to architectural standards/principles, global product-specific guidelines, usability design standards, etc.   • Proactively guide engineering methodologies, standards, and leading practices.   • Guidance of engineering staff and reviews of as-built configurations during the construction phase. • Provide insight and direction on roles and responsibilities required for solution operations. • Identify, communicate and mitigate Risks, Assumptions, Issues, and Decisions throughout the full lifecycle. • Considers the art of the possible, compares various architectural options based on feasibility and impact, and proposes actionable plans. • Demonstrate strong analytical and technical problem-solving skills. • Ability to analyze and operate at various levels of abstraction.   • Ability to balance what is strategically right with what is practically realistic.  Minimum qualifications: • Excellent technical architecture skills, enabling the creation of future-proof, complex global solutions. • Excellent interpersonal communication and organizational skills are required to operate as a leading member of global, distributed teams that deliver quality services and solutions.   • Ability to rapidly gain knowledge of the organizational structure of the firm to facilitate work with groups outside of the immediate technical team.  • Bachelor’s Degree or equivalency (CS, CE, CIS, IS, MIS, or engineering discipline) or equivalent work experience. • Experience in architecting and designing technical solutions for cloud-centric solutions based on industry standards using IaaS, PaaS, and SaaS capabilities.   • Must have strong hands-on experience on various cloud services like ADF/Lambda, ADLS/S3, Security, Monitoring, Governance • Must have experience to design platform on Databricks. • Hands-on Experience to design and build Databricks based solution on any cloud platform. • Hands-on experience to design and build solution powered by DBT models and integrate with databricks. • Must be very good designing End-to-End solution on cloud platform. • Must have good knowledge of Data Engineering concept and related services of cloud. • Must have good experience in Python and Spark. • Must have good experience in setting up development best practices. • Intermediate level knowledge is required for Data Modelling. • Good to have knowledge of docker and Kubernetes. • Experience with claims-based authentication (SAML/OAuth/OIDC), MFA, RBAC, SSO etc.  harish@dicetek.us

Databricks India : We're scaling like never before ! Software Engineering + Presales + Post Sales + Data Engineering + Partner Sales + Security , and a lot more open positions at #Databricks India !!! #databricksindia

We are hiring .... Role- Azure Developer  Hybrid 2 days’ work from office only – Wednesday & Thursday for Bangalore Brillio Office. Mandatory Skills: ADF, Databricks, Advance SQL, Synapse Experience Range – 7+ Years Max Budget – 20 LPA to 22 LPA These are the questions you need to ask the candidate and please fill in the answer.   Azure DE Questionary:   Custom Coding Questions: Have you implemented CDC (Change data capture)? What will be your approach to implement that in Python & Pyspark... If no experience in CDC - Do you know what Cluster of Memory Issue is If a Database not supported by ADF, how will you load it?   ADF-  Limitations in ADF (considering Foreach If activity etc.) Experience on ADF activities - Lookup, Foreach, If Activity, Switch, Metadata, Web Activity Experience on Data Flow in ADF How to set up hosted integration runtime How to configure the Integration runtime to handle the multiple pipeline/activity executions at a time  SQL -  Performance Tuning Use of indexes, Partitioning  Experience in Stored procedures and complex queries using analytical functions  Custom coding -  1.       Use of Azure functions and how it works 2.       CDC implementation if not supported in ADF 3.       Experience on PySpark and Databricks 4.       Coding standards to avoid "time out" and "out of memory" issues on the Databricks cluster   E-mail: raghu@neodesiretech.com  #HIRING #ITJOBS #DEVOPS #AZUREDEVELOPER #HIRING

Hi All, We have some opportunities with one of our client for Azure Data Engineer with 5+ years of experience, for Bangalore location Interested candidates kindly message me or comment here The below is the JD for reference Azure Data Engineer Work location : Bangalore, Hybrid mode Experience: 5+ years Skills · Azure Services: Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake, etc. · Programming Languages: T-SQL, PySpark, Spark SQL, Fair knowledge on KQL. · Data Modeling: ERD, Dimensional Modeling · ETL Tools: Azure Data Factory, Fair Knowledge of SSIS · Big Data Technologies: Fair knowledge on Hadoop and Spark · Performance Tuning and Troubleshooting · Version Control: Git, Azure DevOps Responsibilities · Proficient T-SQL developer in developing complex queries, stored procedures and skilled in performance tuning and ensuring database integrity and security. · Designed and implemented Azure-based data solutions, by reducing data processing and optimizing costs by implementing efficient resource utilization strategies. · Conducted performance tuning and troubleshooting of Azure SQL databases, enhancing system stability. · Developed and Managed end-to-end ETL pipelines using Azure Data Factory, with improvement in data integration efficiency. · Implemented Azure Synapse Analytics to streamline analytics workflows. · Implemented data integration solutions leveraging Azure Data Factory and Azure Synapse Analytics for seamless data flow. · Managed the migration of legacy data systems to Azure Synapse Analytics ensuring minimal downtime and improved performance. · Orchestrated the migration of data infrastructure to Azure Databricks, ensuring seamless integration and improved efficiency. · Developed and deployed scalable data pipelines on Azure Databricks. · Implemented robust security measures for data storage and processing in compliance with industry standards and regulations. · Collaborated with cross-functional teams to optimize data architecture and improve data quality. · Developed and maintained Azure Data Lake storage solutions, enabling seamless data ingestion and processing. #azurejobs #azuredataengineer #azure #azureservices #azuredatafactory #azuresynapase

#urgenthiring for Sr Data Engineer Position with a leading Product based company Experience : 5+ yrs Job Location: Bangalore Budget: Up to 28 LPA Responsibilities:  Design and build reusable components, frameworks and libraries at scale to support analytics products.   Design and implement product features in collaboration with business and Technology stakeholders.   Anticipate, identify and solve issues concerning data management to improve data quality.  Clean, prepare and optimize data at scale for ingestion and consumption.  Drive the implementation of new data management projects and re-structure of the current data architecture.  Implement complex automated workflows and routines using workflow scheduling tools.   Build continuous integration, test-driven development and production deployment frameworks.  Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards.  Analyze and profile data for the purpose of designing scalable solutions.   Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues.  Mentor and develop other data engineers in adopting best practices.   Qualifications:   Primary skillset:  Experience working with distributed technology tools for developing Batch and Streaming pipelines using  o SQL, Spark, Python, PySpark [4+ years], o Airflow [3+ years], o Scala [2+ years].  Able to write code which is optimized for performance.  Experience in Cloud platform, e.g., AWS, GCP, Azure, etc.  Able to quickly pick up new programming languages, technologies, and frameworks.  Strong skills building positive relationships across Product and Engineering.  Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders  Experience with creating/ configuring Jenkins pipeline for smooth CI/CD process for Managed Spark jobs, build Docker images, etc.  Working knowledge of Data warehousing, Data modelling, Governance and Data Architecture   Good to have:  Experience working with Data platforms, including EMR, Airflow, Databricks (Data Engineering & Delta Lake components, and Lakehouse Medallion architecture), etc.  Experience working in Agile and Scrum development process.  Experience in EMR/ EC2, Databricks etc.  Experience working with Data warehousing tools, including SQL database, Presto, and Snowflake  Experience architecting data product in Streaming, Serverless and Microservices Architecture and platform. Interested Candidates can mail me on gowthami@boyenhaddin.com References are much Appreciated !!!!!! #urgenthiring #seniordataengineer #sql #spark #python #pyspark #airflow #scala #cloudplatform #boyenhaddin #bangalorejobs #bangalorehiring #productbasedcompany #productbased #dataengineer

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