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at Softobiz Technologies Private limited
Responsibilities
- Design and implement Azure BI infrastructure, ensure overall quality of delivered solution
- Develop analytical & reporting tools, promote and drive adoption of developed BI solutions
- Actively participate in BI community
- Establish and enforce technical standards and documentation
- Participate in daily scrums
- Record progress daily in assigned Devops items
Ideal Candidates should have
- 5 + years of experience in a similar senior business intelligence development position
- To be successful in the role you will require a high level of expertise across all facets of the Microsoft BI stack and prior experience in designing and developing well-performing data warehouse solutions
- Demonstrated experience using development tools such as Azure SQL database, Azure Data Factory, Azure Data Lake, Azure Synapse, and Azure DevOps.
- Experience with development methodologies including Agile, DevOps, and CICD patterns
- Strong oral and written communication skills in English
- Ability and willingness to learn quickly and continuously
- Bachelor's Degree in computer science
Key Responsibilities:
•Design, development, support and maintain automated business intelligence products in Tableau.
•Rapidly design, develop and implement reporting applications that insert KPI metrics and actionable insights into the operational, tactical and strategic activities of key business functions.
•Develop strong communication skills with a proven success communicating with users, other tech teams.
•Identify business requirements, design processes that leverage/adapt the business logic and regularly communicate with business stakeholders to ensure delivery meets business needs.
•Design, code and review business intelligence projects developed in tools Tableau & Power BI.
•Work as a member and lead teams to implement BI solutions for our customers.
•Develop dashboards and data sources that meet and exceed customer requirements.
•Partner with business information architects to understand the business use cases that support and fulfill business and data strategy.
•Partner with Product Owners and cross functional teams in a collaborative and agile environment
•Provide best practices for data visualization and Tableau implementations.
•Work along with solution architect in RFI / RFP response solution design, customer presentations, demonstrations, POCs etc. for growth.
Desired Candidate Profile:
•6-10 years of programming experience and a demonstrated proficiency in Experience with Tableau Certifications in Tableau is highly preferred.
•Ability to architect and scope complex projects.
•Strong understanding of SQL and basic understanding of programming languages; experience with SAQL, SOQL, Python, or R a plus.
•Applied experience in Agile development processes (SCRUM)
•Ability to independently learn new technologies.
•Ability to show initiative and work independently with minimal direction.
•Presentation skills – demonstrated ability to simplify complex situations and ideas and distill them into compelling and effective written and oral presentations.
•Learn quickly – ability to understand and rapidly comprehend new areas, functional and technical, and apply detailed and critical thinking to customer solutions.
Education:
•Bachelor/master’s degree in Computer Science, Computer Engineering, quantitative studies, such as Statistics, Math, Operation Research, Economics and Advanced Analytics
We deliver business outcomes by stitching technology, experi
A Business Transformation Organization that partners with businesses to co–create customer-centric hyper-personalized solutions to achieve exponential growth. Invente offers platforms and services that enable businesses to provide human-free customer experience, Business Process Automation.
Location: Hyderabad (WFO)
Budget: Open
Position: Azure Data Engineer
Experience: 5+ years of commercial experience
Responsibilities
● Design and implement Azure data solutions using ADLS Gen 2.0, Azure Data Factory, Synapse, Databricks, SQL, and Power BI
● Build and maintain data pipelines and ETL processes to ensure efficient data ingestion and processing
● Develop and manage data warehouses and data lakes
● Ensure data quality, integrity, and security
● Implement from existing use cases required by the AI and analytics teams.
● Collaborate with other teams to integrate data solutions with other systems and applications
● Stay up-to-date with emerging data technologies and recommend new solutions to improve our data infrastructure
• Experience with Advanced SQL
• Experience with Azure data factory, data bricks,
• Experience with Azure IOT, Cosmos DB, BLOB Storage
• API management, FHIR API development,
• Proficient with Git and CI/CD best practices
• Experience working with Snowflake is a plus
We at Datametica Solutions Private Limited are looking for an SQL Lead / Architect who has a passion for the cloud with knowledge of different on-premises and cloud Data implementation in the field of Big Data and Analytics including and not limiting to Teradata, Netezza, Exadata, Oracle, Cloudera, Hortonworks and alike.
Ideal candidates should have technical experience in migrations and the ability to help customers get value from Datametica's tools and accelerators.
Job Description :
Experience: 6+ Years
Work Location: Pune / Hyderabad
Technical Skills :
- Good programming experience as an Oracle PL/SQL, MySQL, and SQL Server Developer
- Knowledge of database performance tuning techniques
- Rich experience in a database development
- Experience in Designing and Implementation Business Applications using the Oracle Relational Database Management System
- Experience in developing complex database objects like Stored Procedures, Functions, Packages and Triggers using SQL and PL/SQL
Required Candidate Profile :
- Excellent communication, interpersonal, analytical skills and strong ability to drive teams
- Analyzes data requirements and data dictionary for moderate to complex projects • Leads data model related analysis discussions while collaborating with Application Development teams, Business Analysts, and Data Analysts during joint requirements analysis sessions
- Translate business requirements into technical specifications with an emphasis on highly available and scalable global solutions
- Stakeholder management and client engagement skills
- Strong communication skills (written and verbal)
About Us!
A global leader in the Data Warehouse Migration and Modernization to the Cloud, we empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.
We have expertise in transforming legacy Teradata, Oracle, Hadoop, Netezza, Vertica, Greenplum along with ETLs like Informatica, Datastage, AbInitio & others, to cloud-based data warehousing with other capabilities in data engineering, advanced analytics solutions, data management, data lake and cloud optimization.
Datametica is a key partner of the major cloud service providers - Google, Microsoft, Amazon, Snowflake.
We have our own products!
Eagle Data warehouse Assessment & Migration Planning Product
Raven Automated Workload Conversion Product
Pelican Automated Data Validation Product, which helps automate and accelerate data migration to the cloud.
Why join us!
Datametica is a place to innovate, bring new ideas to live, and learn new things. We believe in building a culture of innovation, growth, and belonging. Our people and their dedication over these years are the key factors in achieving our success.
Benefits we Provide!
Working with Highly Technical and Passionate, mission-driven people
Subsidized Meals & Snacks
Flexible Schedule
Approachable leadership
Access to various learning tools and programs
Pet Friendly
Certification Reimbursement Policy
Check out more about us on our website below!
www.datametica.com
Responsibilities:
* 3+ years of Data Engineering Experience - Design, develop, deliver and maintain data infrastructures.
* SQL Specialist – Strong knowledge and Seasoned experience with SQL Queries
* Languages: Python
* Good communicator, shows initiative, works well with stakeholders.
* Experience working closely with Data Analysts and provide the data they need and guide them on the issues.
* Solid ETL experience and Hadoop/Hive/Pyspark/Presto/ SparkSQL
* Solid communication and articulation skills
* Able to handle stakeholders independently with less interventions of reporting manager.
* Develop strategies to solve problems in logical yet creative ways.
* Create custom reports and presentations accompanied by strong data visualization and storytelling
We would be excited if you have:
* Excellent communication and interpersonal skills
* Ability to meet deadlines and manage project delivery
* Excellent report-writing and presentation skills
* Critical thinking and problem-solving capabilities
- 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.
Develop complex queries, pipelines and software programs to solve analytics and data mining problems
Interact with other data scientists, product managers, and engineers to understand business problems, technical requirements to deliver predictive and smart data solutions
Prototype new applications or data systems
Lead data investigations to troubleshoot data issues that arise along the data pipelines
Collaborate with different product owners to incorporate data science solutions
Maintain and improve data science platform
Must Have
BS/MS/PhD in Computer Science, Electrical Engineering or related disciplines
Strong fundamentals: data structures, algorithms, database
5+ years of software industry experience with 2+ years in analytics, data mining, and/or data warehouse
Fluency with Python
Experience developing web services using REST approaches.
Proficiency with SQL/Unix/Shell
Experience in DevOps (CI/CD, Docker, Kubernetes)
Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multi-task and manage expectations
Preferred
Industry experience with big data processing technologies such as Spark and Kafka
Experience with machine learning algorithms and/or R a plus
Experience in Java/Scala a plus
Experience with any MPP analytics engines like Vertica
Experience with data integration tools like Pentaho/SAP Analytics Cloud
- Expertise in designing and implementing enterprise scale database (OLTP) and Data warehouse solutions.
- Hands on experience in implementing Azure SQL Database, Azure SQL Date warehouse (Azure Synapse Analytics) and big data processing using Azure Databricks and Azure HD Insight.
- Expert in writing T-SQL programming for complex stored procedures, functions, views and query optimization.
- Should be aware of Database development for both on-premise and SAAS Applications using SQL Server and PostgreSQL.
- Experience in ETL and ELT implementations using Azure Data Factory V2 and SSIS.
- Experience and expertise in building machine learning models using Logistic and linear regression, Decision tree and Random forest Algorithms.
- PolyBase queries for exporting and importing data into Azure Data Lake.
- Building data models both tabular and multidimensional using SQL Server data tools.
- Writing data preparation, cleaning and processing steps using Python, SCALA, and R.
- Programming experience using python libraries NumPy, Pandas and Matplotlib.
- Implementing NOSQL databases and writing queries using cypher.
- Designing end user visualizations using Power BI, QlikView and Tableau.
- Experience working with all versions of SQL Server 2005/2008/2008R2/2012/2014/2016/2017/2019
- Experience using the expression languages MDX and DAX.
- Experience in migrating on-premise SQL server database to Microsoft Azure.
- Hands on experience in using Azure blob storage, Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2.
- Performance tuning complex SQL queries, hands on experience using SQL Extended events.
- Data modeling using Power BI for Adhoc reporting.
- Raw data load automation using T-SQL and SSIS
- Expert in migrating existing on-premise database to SQL Azure.
- Experience in using U-SQL for Azure Data Lake Analytics.
- Hands on experience in generating SSRS reports using MDX.
- Experience in designing predictive models using Python and SQL Server.
- Developing machine learning models using Azure Databricks and SQL Server
Indium Software is a niche technology solutions company with deep expertise in Digital , QA and Gaming. Indium helps customers in their Digital Transformation journey through a gamut of solutions that enhance business value.
With over 1000+ associates globally, Indium operates through offices in the US, UK and India
Visit http://www.indiumsoftware.com">www.indiumsoftware.com to know more.
Job Title: Analytics Data Engineer
What will you do:
The Data Engineer must be an expert in SQL development further providing support to the Data and Analytics in database design, data flow and analysis activities. The position of the Data Engineer also plays a key role in the development and deployment of innovative big data platforms for advanced analytics and data processing. The Data Engineer defines and builds the data pipelines that will enable faster, better, data-informed decision-making within the business.
We ask:
Extensive Experience with SQL and strong ability to process and analyse complex data
The candidate should also have an ability to design, build, and maintain the business’s ETL pipeline and data warehouse The candidate will also demonstrate expertise in data modelling and query performance tuning on SQL Server
Proficiency with analytics experience, especially funnel analysis, and have worked on analytical tools like Mixpanel, Amplitude, Thoughtspot, Google Analytics, and similar tools.
Should work on tools and frameworks required for building efficient and scalable data pipelines
Excellent at communicating and articulating ideas and an ability to influence others as well as drive towards a better solution continuously.
Experience working in python, Hive queries, spark, pysaprk, sparkSQL, presto
- Relate Metrics to product
- Programmatic Thinking
- Edge cases
- Good Communication
- Product functionality understanding
Perks & Benefits:
A dynamic, creative & intelligent team they will make you love being at work.
Autonomous and hands-on role to make an impact you will be joining at an exciting time of growth!
Flexible work hours and Attractive pay package and perks
An inclusive work environment that lets you work in the way that works best for you!