- Establish and maintain a trusted advisor relationship within the company’s IT, Commercial Digital Solutions, Functions, and Businesses you interact with
- Establish and maintain close working relationships with teams responsible for delivering solutions to the company’s businesses and functions
- Perform key management and thought leadership in the areas of advanced data techniques, including data modeling, data access, data integration, data visualization, big data solutions, text mining, data discovery, statistical methods, and database design
- Work with business partners to define ways to leverage data to develop platforms and solutions to drive business growth
- Engage collaboratively with project teams to support project objectives through the application of sound data architectural principles; support a project with knowledge of existing data assets and provide guidance on reusable data structures
- Share knowledge of external and internal data capabilities and trends, provide leadership, and facilitate the evaluation of vendors and products
- Utilize advanced data analysis, including statistical analysis and data mining techniques
- Collaborate with others to set an enterprise data vision with solid recommendations, and work to gain business and IT consensus
Basic Qualifications
- Overall 10+ years of IT Environment Experience.
- 3+ years of experience partnering with business managers to develop technical strategies and architectures to support their objectives
- 3+ years in Azure Data Factory.
- 2 +azure data bricks, azure cosmos DB, multi-factor authentication, event hub, azure active directory, logic apps.
- 2+ years of hands-on experience with analytics deployment in the cloud (prefer Azure)
- 5+ years of delivering analytics in modern data architecture (Hadoop, Massively Parallel Processing Database Platforms, and Semantic Modeling)
- Demonstrable knowledge of ETL and ELT patterns and when to use either one; experience selecting among different tools that could be leveraged to accomplish this (Talend, Informatica, Azure Data Factory, SSIS, SAP Data Services)
- Demonstrable knowledge of and experience with different scripting languages (python, JavaScript, PIG, or object-oriented programming like Java or . NET)
Preferred Qualifications
- Bachelor’s degree in Computer Science, MIS, related field, or equivalent experience
- Experience working with solutions delivery teams using Agile/Scrum or similar methodologies
- 2+ years of experience designing solutions leveraging Microsoft Cortana Intelligence Suite of Products [Azure SQL, Azure SQL DW, Cosmos DB, HDInsight, DataBricks]
- Experience with enterprise systems, like CRM, ERP, Field Services Management, Supply Chain solutions, HR systems
- Ability to work independently, establishing strategic objectives, project plans, and milestones
- Exceptional written, verbal & presentation skills
About Our Client company is into Computer Software. (EC1)
Similar jobs
Mandatory Skills: Azure Data Lake Storage, Azure SQL databases, Azure Synapse, Data Bricks (Pyspark/Spark), Python, SQL, Azure Data Factory.
Good to have: Power BI, Azure IAAS services, Azure Devops, Microsoft Fabric
Ø Very strong understanding on ETL and ELT
Ø Very strong understanding on Lakehouse architecture.
Ø Very strong knowledge in Pyspark and Spark architecture.
Ø Good knowledge in Azure data lake architecture and access controls
Ø Good knowledge in Microsoft Fabric architecture
Ø Good knowledge in Azure SQL databases
Ø Good knowledge in T-SQL
Ø Good knowledge in CI /CD process using Azure devops
Ø Power BI
Hiring for Azure Data Engineers.
Location: Bangalore
Employment type: Full-time, permanent
website: www.amazech.com
Qualifications:
B.E./B.Tech/M.E./M.Tech in Computer Science, Information Technology, Electrical or Electronic with good academic background.
Experience and Required Skill Sets:
• Minimum 5 years of hands-on experience with Azure Data Lake, Azure Data Factory, SQL Data Warehouse, Azure Blob, Azure Storage Explorer
• Experience in Data warehouse/analytical systems using Azure Synapse.
Proficient in creating Azure Data Factory pipelines for ETL processing; copy activity, custom Azure development, Synapse, etc.
• Knowledge of Azure Data Catalog, Event Grid, Service Bus, SQL, and Purview.
• Good technical knowledge in Microsoft SQL Server BI Suite (ETL, Reporting, Analytics, Dashboards) using SSIS, SSAS, SSRS, Power BI
• Design and develop batch and real-time streaming of data loads to data warehouse systems
Other Requirements:
A Bachelor's or Master's degree (Engineering or computer-related degree preferred)
Strong understanding of Software Development Life Cycles including Agile/Scrum
Responsibilities:
• Ability to create complex, enterprise-transforming applications that meet and exceed client expectations.
• Responsible for the bottom line. Strong project management abilities. Ability to encourage the team to stick to timelines.
ADF Developer with top Conglomerates for Kochi location_ Air India
conducting F2F Interviews on 22nd April 2023
Experience - 2-12 years.
Location - Kochi only (work from the office only)
Notice period - 1 month only.
If you are interested, please share the following information at your earliest
Job Overview
We are looking for a Data Engineer to join our data team to solve data-driven critical
business problems. The hire will be responsible for expanding and optimizing the existing
end-to-end architecture including the data pipeline architecture. The Data Engineer will
collaborate with software developers, database architects, data analysts, data scientists and platform team on data initiatives and will ensure optimal data delivery architecture is
consistent throughout ongoing projects. The right candidate should have hands on in
developing a hybrid set of data-pipelines depending on the business requirements.
Responsibilities
- Develop, construct, test and maintain existing and new data-driven architectures.
- Align architecture with business requirements and provide solutions which fits best
- to solve the business problems.
- Build the infrastructure required for optimal extraction, transformation, and loading
- of data from a wide variety of data sources using SQL and Azure ‘big data’
- technologies.
- Data acquisition from multiple sources across the organization.
- Use programming language and tools efficiently to collate the data.
- Identify ways to improve data reliability, efficiency and quality
- Use data to discover tasks that can be automated.
- Deliver updates to stakeholders based on analytics.
- Set up practices on data reporting and continuous monitoring
Required Technical Skills
- Graduate in Computer Science or in similar quantitative area
- 1+ years of relevant work experience as a Data Engineer or in a similar role.
- Advanced SQL knowledge, Data-Modelling and experience working with relational
- databases, query authoring (SQL) as well as working familiarity with a variety of
- databases.
- Experience in developing and optimizing ETL pipelines, big data pipelines, and datadriven
- architectures.
- Must have strong big-data core knowledge & experience in programming using Spark - Python/Scala
- Experience with orchestrating tool like Airflow or similar
- Experience with Azure Data Factory is good to have
- Build processes supporting data transformation, data structures, metadata,
- dependency and workload management.
- Experience supporting and working with cross-functional teams in a dynamic
- environment.
- Good understanding of Git workflow, Test-case driven development and using CICD
- is good to have
- Good to have some understanding of Delta tables It would be advantage if the candidate also have below mentioned experience using
- the following software/tools:
- Experience with big data tools: Hadoop, Spark, Hive, etc.
- Experience with relational SQL and NoSQL databases
- Experience with cloud data services
- Experience with object-oriented/object function scripting languages: Python, Scala, etc.
- Experience and expertise in Python Development and its different libraries like Pyspark, pandas, NumPy
- Expertise in ADF, Databricks.
- Creating and maintaining data interfaces across a number of different protocols (file, API.).
- Creating and maintaining internal business process solutions to keep our corporate system data in sync and reduce manual processes where appropriate.
- Creating and maintaining monitoring and alerting workflows to improve system transparency.
- Facilitate the development of our Azure cloud infrastructure relative to Data and Application systems.
- Design and lead development of our data infrastructure including data warehouses, data marts, and operational data stores.
- Experience in using Azure services such as ADLS Gen 2, Azure Functions, Azure messaging services, Azure SQL Server, Azure KeyVault, Azure Cognitive services etc.
- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
- Experience in migrating on-premise data warehouses to data platforms on AZURE cloud.
- Designing and implementing data engineering, ingestion, and transformation functions
-
Azure Synapse or Azure SQL data warehouse
-
Spark on Azure is available in HD insights and data bricks
- Experience with Azure Analysis Services
- Experience in Power BI
- Experience with third-party solutions like Attunity/Stream sets, Informatica
- Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
- Capacity Planning and Performance Tuning on Azure Stack and Spark.
- Establish and maintain a trusted advisor relationship within the company’s IT, Commercial Digital Solutions, Functions, and Businesses you interact with
- Establish and maintain close working relationships with teams responsible for delivering solutions to the company’s businesses and functions
- Perform key management and thought leadership in the areas of advanced data techniques, including data modeling, data access, data integration, data visualization, big data solutions, text mining, data discovery, statistical methods, and database design
- Work with business partners to define ways to leverage data to develop platforms and solutions to drive business growth
- Engage collaboratively with project teams to support project objectives through the application of sound data architectural principles; support the project with knowledge of existing data assets and provide guidance on reusable data structures
- Share knowledge of external and internal data capabilities and trends, provide leadership, and facilitate the evaluation of vendors and products
- Utilize advanced data analysis, including statistical analysis and data mining techniques
- Collaborate with others to set an enterprise data vision with solid recommendations, and work to gain business and IT consensus
Basic Qualifications
- Overall 15+ years of IT Environment Experience.
- Solid background as a data architect/cloud architect with a minimum of 5 years as a core architect
- Architecting experience in the cloud data warehouse solutions (Snowflake preferred, big query/redshift/synapse analytics-nice to have)
- Strong architecture and design skills using Azure Services( Like ADF/Data Flows/Evengrids/IOTHUB/EvenHub/ADLS Gen2 /Serverless Azure Functions/Logic Apps/Azure Analysis Services Cube Design patterns/Azure SQL Db)
- Working Knowledge on Lambda/Kappa frameworks within the data Lake designs& architecture solutions
- Deep understanding of the DevOps/DataOps patterns
- Architecting the semantic models
- Data modeling experience with Data vault principles
- Cloud-native Batch & Realtime ELT/ETL patterns
- Familiarity with Lucid Chart/Visio
- Logging & monitoring pattern designs in the data lake /data warehouse context
- Meta data-driven design patterns * solutioning expertise
- Data Catalog integration experience in the data lake designs
- 3+ years of experience partnering with business managers to develop technical strategies and architectures to support their objectives
- 2+ years of hands-on experience with analytics deployment in the cloud (prefer Azure but AWS knowledge is acceptable)
- 5+ years of delivering analytics in modern data architecture (Hadoop, Massively Parallel Processing Database Platforms, and Semantic Modeling)
- Demonstrable knowledge of ETL and ELT patterns and when to use either one; experience selecting among different tools that could be leveraged to accomplish this (Talend, Informatica, Azure Data Factory, SSIS, SAP Data Services)
- Demonstrable knowledge of and experience with different scripting languages (python, javascript, PIG, or object-oriented programming like Java or . NET)
Preferred Qualifications
- Bachelor’s degree in Computer Science, MIS, related field, or equivalent experience
- Experience working with solutions delivery teams using Agile/Scrum or similar methodologies
- 2+ years of experience designing solutions leveraging Microsoft Cortana Intelligence Suite of Products [Azure SQL, Azure SQL DW, Cosmos DB, HDInsight, DataBricks]
- Experience with enterprise systems, like CRM, ERP, Field Services Management, Supply Chain solutions, HR systems
- Ability to work independently, establishing strategic objectives, project plans, and milestones
- Exceptional written, verbal & presentation skills
Responsibilities
Understand business requirement and actively provide inputs from Data perspective.
Experience of SSIS development.
Experience in Migrating SSIS packages to Azure SSIS Integrated Runtime
Experience in Data Warehouse / Data mart development and migration
Good knowledge and Experience on Azure Data Factory
Expert level knowledge of SQL DB & Datawarehouse
Should know at least one programming language (python or PowerShell)
Should be able to analyse and understand complex data flows in SSIS.
Knowledge on Control-M
Knowledge of Azure data lake is required.
Excellent interpersonal/communication skills (both oral/written) with the ability to communicate
at various levels with clarity & precision.
Build simple to complex pipelines & dataflows.
Work with other Azure stack modules like Azure Data Lakes, SQL DW, etc.
Requirements
Bachelor’s degree in Computer Science, Computer Engineering, or relevant field.
A minimum of 5 years’ experience in a similar role.
Strong knowledge of database structure systems and data mining.
Excellent organizational and analytical abilities.
Outstanding problem solver.
Good written and verbal communication skills.
Required Experience: 5 - 7 Years
Skills : ADF, Azure, SSIS, python
Job Description
Azure Data Engineer with hands on SSIS migrations and ADF expertise.
Roles & Responsibilities
•Overall, 6+ years’ experience in Cloud Data Engineering, with hands on experience in ADF (Azure Data Factory) is required.
Hands on experience with SSIS to ADF migration is preferred.
SQL Server Integration Services (SSIS) workloads to SSIS in ADF. ( Must have done at least one migration)
Hands on experience implementing Azure Data Factory frameworks, scheduling, and performance tuning.
Hands on experience in migrating SSIS solutions to ADF
Hands on experience in ADF coding side.
Hands on experience with MPP Database architecture
Hands on experience in python
- Data pre-processing, data transformation, data analysis, and feature engineering
- Performance optimization of scripts (code) and Productionizing of code (SQL, Pandas, Python or PySpark, etc.)
- Required skills:
- Bachelors in - in Computer Science, Data Science, Computer Engineering, IT or equivalent
- Fluency in Python (Pandas), PySpark, SQL, or similar
- Azure data factory experience (min 12 months)
- Able to write efficient code using traditional, OO concepts, modular programming following the SDLC process.
- Experience in production optimization and end-to-end performance tracing (technical root cause analysis)
- Ability to work independently with demonstrated experience in project or program management
- Azure experience ability to translate data scientist code in Python and make it efficient (production) for cloud deployment