Power BI Developer

Our client is the world’s largest media investment company and are a part of WPP. In fact, they are responsible for one in every three ads you see globally. We are currently looking for a Senior Software Engineer to join us. In this role, you will be responsible for coding/implementing of custom marketing applications that Tech COE builds for its customer and managing a small team of developers.

What your day job looks like:

• Serve as a Subject Matter Expert on data usage – extraction, manipulation, and inputs for analytics
• Develop data extraction and manipulation code based on business rules
• Develop automated and manual test cases for the code written
• Design and construct data store and procedures for their maintenance
• Perform data extract, transform, and load activities from several data sources.
• Develop and maintain strong relationships with stakeholders
• Write high quality code as per prescribed standards.
• Participate in internal projects as required

 
Minimum qualifications:

• B. Tech./MCA or equivalent preferred
• Excellent 3 years Hand on experience on Big data, ETL Development, Data Processing.

    What you’ll bring:

• Strong experience in working with Snowflake, SQL, PHP/Python.
• Strong Experience in writing complex SQLs
• Good Communication skills
• Good experience of working with any BI tool like Tableau, Power BI.
• Sqoop, Spark, EMR, Hadoop/Hive are good to have.

Exp-Min 10 Years

Location Mumbai

Sal-Nego

Powerbi, Tableau, QlikView,

Solution Architect/Technology Lead – Data Analytics

Role

Looking for Business Intelligence lead (BI Lead) having hands on experience BI tools (Tableau, SAP Business Objects, Financial and Accounting modules, Power BI), SAP integration, and database knowledge including one or more of Azure Synapse/Datafactory, SQL Server, Oracle, cloud-based DB Snowflake. Good knowledge of AI-ML, Python is also expected.

• You will be expected to work closely with our business users. The development will be performed using an Agile methodology which is based on scrum (time boxing, daily scrum meetings, retrospectives, etc.) and XP (continuous integration, refactoring, unit testing, etc) best practices. Candidates must therefore be able to work collaboratively, demonstrate good ownership, leadership and be able to work well in teams.
• Responsibilities :
• Design, development and support of multiple/hybrid Data sources, data visualization Framework using Power BI, Tableau, SAP Business Objects etc. and using ETL tools, Scripting, Python Scripting etc.
• Implementing DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code-utilizing tools like Git. Primary Skills

Requirements

• 10+ years working as a hands-on developer in Information Technology across Database, ETL and BI (SAP Business Objects, integration with SAP Financial and Accounting modules, Tableau, Power BI) & prior team management experience
• Tableau/PowerBI integration with SAP and knowledge of SAP modules related to finance is a must
• 3+ years of hands-on development experience in Data Warehousing and Data Processing
• 3+ years of Database development experience with a solid understanding of core database concepts and relational database design, SQL, Performance tuning
• 3+ years of hands-on development experience with Tableau
• 3+ years of Power BI experience including parameterized reports and publishing it on PowerBI Service
• Excellent understanding and practical experience delivering under an Agile methodology
• Ability to work with business users to provide technical support
• Ability to get involved in all the stages of project lifecycle, including analysis, design, development, testing, Good To have Skills
• Experience with other Visualization tools and reporting tools like SAP Business Objects.

Big Data Engineer/Data Engineer


What we are solving
Welcome to today’s business data world where:
• Unification of all customer data into one platform is a challenge

• Extraction is expensive
• Business users do not have the time/skill to write queries
• High dependency on tech team for written queries

These facts may look scary but there are solutions with real-time self-serve analytics:
• Fully automated data integration from any kind of a data source into a universal schema
• Analytics database that streamlines data indexing, query and analysis into a single platform.
• Start generating value from Day 1 through deep dives, root cause analysis and micro segmentation

At Propellor.ai, this is what we do.
• We help our clients reduce effort and increase effectiveness quickly
• By clearly defining the scope of Projects
• Using Dependable, scalable, future proof technology solution like Big Data Solutions and Cloud Platforms
• Engaging with Data Scientists and Data Engineers to provide End to End Solutions leading to industrialisation of Data Science Model Development and Deployment

What we have achieved so far
Since we started in 2016,
• We have worked across 9 countries with 25+ global brands and 75+ projects
• We have 50+ clients, 100+ Data Sources and 20TB+ data processed daily

Work culture at Propellor.ai
We are a small, remote team that believes in
• Working with a few, but only with highest quality team members who want to become the very best in their fields.
• With each member's belief and faith in what we are solving, we collectively see the Big Picture
• No hierarchy leads us to believe in reaching the decision maker without any hesitation so that our actions can have fruitful and aligned outcomes.
• Each one is a CEO of their domain.So, the criteria while making a choice is so our employees and clients can succeed together!

To read more about us click here:
https://bit.ly/3idXzs0" target="_blank">https://bit.ly/3idXzs0

About the role
We are building an exceptional team of Data engineers who are passionate developers and wants to push the boundaries to solve complex business problems using the latest tech stack. As a Big Data Engineer, you will work with various Technology and Business teams to deliver our Data Engineering offerings to our clients across the globe.

Role Description
• The role would involve big data pre-processing & reporting workflows including collecting, parsing, managing, analysing, and visualizing large sets of data to turn information into business insights
• Develop the software and systems needed for end-to-end execution on large projects
• Work across all phases of SDLC, and use Software Engineering principles to build scalable solutions
• Build the knowledge base required to deliver increasingly complex technology projects
• The role would also involve testing various machine learning models on Big Data and deploying learned models for ongoing scoring and prediction.

Education & Experience
• B.Tech. or Equivalent degree in CS/CE/IT/ECE/EEE 3+ years of experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions.

Must have (hands-on) experience
• Python and SQL expertise
• Distributed computing frameworks (Hadoop Ecosystem & Spark components)
• Must be proficient in any Cloud computing platforms (AWS/Azure/GCP)  • Experience in in any cloud platform would be preferred - GCP (Big Query/Bigtable, Pub sub, Data Flow, App engine )/ AWS/ Azure

• Linux environment, SQL and Shell scripting Desirable
• Statistical or machine learning DSL like R
• Distributed and low latency (streaming) application architecture
• Row store distributed DBMSs such as Cassandra, CouchDB, MongoDB, etc
. • Familiarity with API design

Hiring Process:
1. One phone screening round to gauge your interest and knowledge of fundamentals
2. An assignment to test your skills and ability to come up with solutions in a certain time
3. Interview 1 with our Data Engineer lead
4. Final Interview with our Data Engineer Lead and the Business Teams

Preferred Immediate Joiners

1. Create and maintain optimal data pipeline architecture
2. Assemble large, complex data sets that meet business requirements
3. Identifying, designing, and implementing internal process improvements including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes
4. Work with Data, Analytics & Tech team to extract, arrange and analyze data
5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
6. Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
7. Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
8. Working with stakeholders including data, design, product, and executive teams, and assisting them with data-related technical issues
9. Working with stakeholders including the Executive, Product, Data, and Design teams to support their data infrastructure needs while assisting with data-related technical issues.

1. SQL
2. Ruby or Python(Ruby preferred)
3. Apache-Hadoop based analytics
4. Data warehousing
5. Data architecture
6. Schema design
7. ML

1.  Prior experience of 2 to 5 years as a Data Engineer.
2. Ability in managing and communicating data warehouse plans to internal teams.
3. Experience designing, building, and maintaining data processing systems.
4. Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.
5. Excellent analytic skills associated with working on unstructured datasets.
6. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata.

• Analyze and organize raw data 
• Build data systems and pipelines
• Evaluate business needs and objectives
• Interpret trends and patterns
• Conduct complex data analysis and report on results 
• Build algorithms and prototypes
• Combine raw information from different sources
• Explore ways to enhance data quality and reliability
• Identify opportunities for data acquisition
• Should have experience in Python, Django Micro Service Senior developer with Financial Services/Investment Banking background.
• Develop analytical tools and programs
• Collaborate with data scientists and architects on several projects
• Should have 5+ years of experience as a data engineer or in a similar role
• Technical expertise with data models, data mining, and segmentation techniques
• Should have experience programming languages such as Python
• Hands-on experience with SQL database design
• Great numerical and analytical skills
• Degree in Computer Science, IT, or similar field; a Master’s is a plus
• Data engineering certification (e.g. IBM Certified Data Engineer) is a plus

MSBI Developer- 

We have the following opening in our organization:

Years of Experience: Experience of  4-8 years. 

Location- Mumbai ( Thane)/BKC/Andheri
Notice period: Max 15 days or Immediate 

Educational Qualification: MCA/ME/Msc-IT/BE/B-Tech/BCA/BSC IT in Computer Science/B.Tech

Requirements:

•   3- 8 years of consulting or relevant work experience
• Should be good in SQL Server 2008 R2 and above.
• Should be excellent at SQL, SSRS & SSIS, SSAS,
• Data modeling, Fact & dimension design, work on a data warehouse or dw architecture design.
• Implementing new technology like power BI, power bi modeling.  
• Knowledge of Azure or R-programming is an added advantage.
• Experiences in BI and Visualization Technology (Tableau, Power  BI).
• Advanced T-SQL programming skill
• Can scope out a simple or semi-complex project based on business requirements and achievable benefits
• Evaluate, design, and implement enterprise IT-based business solutions, often working on-site to help customers deploy their solutions.