Ab>initio, Big Data, Informatica, Tableau, Data Architect, Cognos, Microstrategy, Healther Business Analysts, Cloud etc.
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Power BI Developer(Azure Developer )
Job Description:
Senior visualization engineer with understanding in Azure Data Factory & Databricks to develop and deliver solutions that enable delivery of information to audiences in support of key business processes.
Ensure code and design quality through execution of test plans and assist in development of standards & guidelines working closely with internal and external design, business and technical counterparts.
Desired Competencies:
- Strong designing concepts of data visualization centered on business user and a knack of communicating insights visually.
- Ability to produce any of the charting methods available with drill down options and action-based reporting. This includes use of right graphs for the underlying data with company themes and objects.
- Publishing reports & dashboards on reporting server and providing role-based access to users.
- Ability to create wireframes on any tool for communicating the reporting design.
- Creation of ad-hoc reports & dashboards to visually communicate data hub metrics (metadata information) for top management understanding.
- Should be able to handle huge volume of data from databases such as SQL Server, Synapse, Delta Lake or flat files and create high performance dashboards.
- Should be good in Power BI development
- Expertise in 2 or more BI (Visualization) tools in building reports and dashboards.
- Understanding of Azure components like Azure Data Factory, Data lake Store, SQL Database, Azure Databricks
- Strong knowledge in SQL queries
- Must have worked in full life-cycle development from functional design to deployment
- Intermediate understanding to format, process and transform data
- Should have working knowledge of GIT, SVN
- Good experience in establishing connection with heterogeneous sources like Hadoop, Hive, Amazon, Azure, Salesforce, SAP, HANA, API’s, various Databases etc.
- Basic understanding of data modelling and ability to combine data from multiple sources to create integrated reports
Preferred Qualifications:
- Bachelor's degree in Computer Science or Technology
- Proven success in contributing to a team-oriented environment
Secondary Skills: Streaming, Archiving , AWS / AZURE / CLOUD
Role:
· Should have strong programming and support experience in Java, J2EE technologies
· Should have good experience in Core Java, JSP, Sevlets, JDBC
· Good exposure in Hadoop development ( HDFS, Map Reduce, Hive, HBase, Spark)
· Should have 2+ years of Java experience and 1+ years of experience in Hadoop
· Should possess good communication skills
The Client is the world’s largest media investment company. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channel We are currently looking for a Manager Analyst – Analytics to join us. In this role, you will work on
various projects for the in-house team across data management, reporting, and analytics.
Responsibility:
• 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
• Design and construct data store and procedures for their maintenance Develop and maintain strong relationships with stakeholders Write high-quality code as per prescribed standards.
• Participate in internal projects as required
Requirements:
• 2-5 years for strong experience in working with SQL, Python, ETL development.
• Strong Experience in writing complex SQLs
• Good Communication skills
• Good experience of working with any BI tool like Tableau, Power BI.
• Familiar with various cloud technologies and their offerings within the data specialization and Data Warehousing.
• Snowflake, AWS are good to have.
Minimum qualifications:
• B. Tech./MCA or equivalent preferred
Excellent 2 years Hand on experience on Big data, ETL Development, Data Processing.
Job Description
- Solid technical skills with a proven and successful history working with data at scale and empowering organizations through data
- Big data processing frameworks: Spark, Scala, Hadoop, Hive, Kafka, EMR with Python
- Advanced experience and hands-on architecture and administration experience on big data platforms
make an impact by enabling innovation and growth; someone with passion for what they do and a vision for the future.
Responsibilities:
- Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
- Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
- Become an expert on data and trends, both internal and external to Kaleidofin.
- Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
- Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
- Automate scheduling and distribution of reports and support auditing and value realization.
- Partner with enterprise architects to define and ensure proposed.
- Business Intelligence solutions adhere to an enterprise reference architecture.
- Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks
Requirements:
- Experience leading development efforts through all phases of SDLC.
- 5+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
- Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
- Hands on experience in SQL, data management, and scripting (preferably Python).
- Strong data visualisation design skills, data modeling and inference skills.
- Hands-on and experience in managing small teams.
- Financial services experience preferred, but not mandatory.
- Strong knowledge of architectural principles, tools, frameworks, and best practices.
- Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
- Team handling preferred for 5+yrs experience candidates.
- Notice period less than 30 days.
- We are looking for : Data engineer
- Sprak
- Scala
- Hadoop
N.p - 15 days to 30 Days
Location : Bangalore / Noida
product insights that will drive product
strategy and roadmap
Develop dashboards and define metrics that
inform success for the Product Team
Help design, execute and evaluate A/B tests to
improve the user journey
Explore large, complex, and loosely defined
datasets to create actionable insights
Facilitate changes to product features to
improve competitive position and optimal
product performance. Work collaboratively with various teams
including marketing, business, UX, customer
support and engineering teams etc.
1-3 years of analyst experience at a product
company. Undergraduate degree from Tier 1 Colleges (IIT
/ BITS / NIT)
Comfortable diving into data and deriving
tangible insights
Experience with product analytics tools like
Amplitude/Clevertap, and data visualization
tools like PowerBI/Tableau is a plus
Experience with running A/B tests and
experiments
Prior Startup and Fintech experience is a plus
Prior startup experience is a plus









