11+ Data mining Jobs in Pune | Data mining Job openings in Pune

4-6 years of total experience in data warehousing and business intelligence

3+ years of solid Power BI experience (Power Query, M-Query, DAX, Aggregates)

2 years’ experience building Power BI using cloud data (Snowflake, Azure Synapse, SQL DB, data lake)

Strong experience building visually appealing UI/UX in Power BI

Understand how to design Power BI solutions for performance (composite models, incremental refresh, analysis services)

Experience building Power BI using large data in direct query mode

Expert SQL background (query building, stored procedure, optimizing performance)

Job Responsibilities

• Design, build & test ETL processes using Python & SQL for the corporate data warehouse
• Inform, influence, support, and execute our product decisions
• Maintain advertising data integrity by working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify issues.
• Evaluate and prototype new technologies in the area of data processing
• Think quickly, communicate clearly and work collaboratively with product, data, engineering, QA and operations teams
• High energy level, strong team player and good work ethic
• Data analysis, understanding of business requirements and translation into logical pipelines & processes
• Identification, analysis & resolution of production & development bugs
• Support the release process including completing & reviewing documentation
• Configure data mappings & transformations to orchestrate data integration & validation
• Provide subject matter expertise
• Document solutions, tools & processes
• Create & support test plans with hands-on testing
• Peer reviews of work developed by other data engineers within the team
• Establish good working relationships & communication channels with relevant departments

 

Skills and Qualifications we look for

• University degree 2.1 or higher (or equivalent) in a relevant subject. Master’s degree in any data subject will be a strong advantage.
• 4 - 6 years experience with data engineering.
• Strong coding ability and software development experience in Python.
• Strong hands-on experience with SQL and Data Processing.
• Google cloud platform (Cloud composer, Dataflow, Cloud function, Bigquery, Cloud storage, dataproc)
• Good working experience in any one of the ETL tools (Airflow would be preferable).
• Should possess strong analytical and problem solving skills.
• Good to have skills - Apache pyspark, CircleCI, Terraform
• Motivated, self-directed, able to work with ambiguity and interested in emerging technologies, agile and collaborative processes.
• Understanding & experience of agile / scrum delivery methodology

 

We are looking for a Data Analyst that oversees organisational data analytics. This will require you to design and help implement the data analytics platform that will keep the organisation running. The team will be the go-to for all data needs for the app and we are looking for a self-starter who is hands on and yet able to abstract problems and anticipate data requirements.
This person should be very strong technical data analyst who can design and implement data systems on his own. Along with him, he also needs to be proficient in business reporting and should have keen interest in provided data needed for business.

 

Tools familiarity:  SQL, Python, Mix panel, Metabase, Google Analytics,  Clever Tap, App Analytics

Responsibilities

• Processes and frameworks for metrics, analytics, experimentation and user insights, lead the data analytics team
• Metrics alignment across teams to make them actionable and promote accountability
• Data based frameworks for assessing and strengthening Product Market Fit
• Identify viable growth strategies through data and experimentation
• Experimentation for product optimisation and understanding user behaviour
• Structured approach towards deriving user insights, answer questions using data
• This person needs to closely work with Technical and Business teams to get this implemented.

Skills

• 4 to 6 years at a relevant role in data analytics in a Product Oriented company
• Highly organised, technically sound & good at communication
• Ability to handle & build for cross functional data requirements / interactions with teams
• Great with Python, SQL
• Can build, mentor a team
• Knowledge of key business metrics like cohort, engagement cohort, LTV, ROAS, ROE

 

Eligibility

BTech or MTech in Computer Science/Engineering from a Tier1, Tier2 colleges

 

Good knowledge on Data Analytics, Data Visualization tools. A formal certification would be added advantage.

We are more interested in what you CAN DO than your location, education, or experience levels.

 

Send us your code samples / GitHub profile / published articles if applicable.

• 4-10 years of experience in software development.
• At least 2 years of relevant work experience on large scale Data applications.
• Strong coding experience in Java is mandatory
• Good aptitude, strong problem solving abilities, and analytical skills, ability to take ownership as appropriate
• Should be able to do coding, debugging, performance tuning and deploying the apps to Prod.
• Should have good working experience on
• o Hadoop ecosystem (HDFS, Hive, Yarn, File formats like Avro/Parquet)
• o Kafka
• o J2EE Frameworks (Spring/Hibernate/REST)
• o Spark Streaming or any other streaming technology.
• Strong coding experience in Java is mandatory
• Ability to work on the sprint stories to completion along with Unit test case coverage.
• Experience working in Agile Methodology
• Excellent communication and coordination skills
• Knowledgeable (and preferred hands on) - UNIX environments, different continuous integration tools.
• Must be able to integrate quickly into the team and work independently towards team goals

• Take the complete responsibility of the sprint stories' execution
• Be accountable for the delivery of the tasks in the defined timelines with good quality.
• Follow the processes for project execution and delivery.
• Follow agile methodology
• Work with the team lead closely and contribute to the smooth delivery of the project.
• Understand/define the architecture and discuss the pros-cons of the same with the team
• Involve in the brainstorming sessions and suggest improvements in the architecture/design.
• Work with other team leads to get the architecture/design reviewed.
• Work with the clients and counter-parts (in US) of the project.
• Keep all the stakeholders updated about the project/task status/risks/issues if there are any.

BRIEF JOB RESPONSIBILITIES:

• Responsible for designing, deploying, and maintaining analytics environment that processes data at scale
• Contribute design, configuration, deployment, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, enrichment, and loading of data into a variety of cloud data platforms, including AWS and Microsoft Azure
• Identify gaps and improve the existing platform to improve quality, robustness, maintainability, and speed
• Evaluate new and upcoming big data solutions and make recommendations for adoption to extend our platform to meet advanced analytics use cases, such as predictive modeling and recommendation engines
• Data Modelling , Data Warehousing on Cloud Scale using Cloud native solutions.
• Perform development, QA, and dev-ops roles as needed to ensure total end to end responsibility of solutions

COMPETENCIES
• Experience building, maintaining, and improving Data Models / Processing Pipeline / routing in large scale environments
• Fluency in common query languages, API development, data transformation, and integration of data streams
• Strong experience with large dataset platforms such as (e.g. Amazon EMR, Amazon Redshift, AWS Lambda & Fargate, Amazon Athena, Azure SQL Database, Azure Database for PostgreSQL, Azure Cosmos DB , Data Bricks)
• Fluency in multiple programming languages, such as Python, Shell Scripting, SQL, Java, or similar languages and tools appropriate for large scale data processing.
• Experience with acquiring data from varied sources such as: API, data queues, flat-file, remote databases
• Understanding of traditional Data Warehouse components (e.g. ETL, Business Intelligence Tools)
• Creativity to go beyond current tools to deliver the best solution to the problem

Technology Skills:

Datametica is looking for talented SQL engineers who would get training & the opportunity to work on Cloud and Big Data Analytics.

 

Mandatory Skills:

• Strong in SQL development
• Hands-on at least one scripting language - preferably shell scripting
• Development experience in Data warehouse projects

Opportunities:

• Selected candidates will be provided training opportunities on one or more of the following: Google Cloud, AWS, DevOps Tools, Big Data technologies like Hadoop, Pig, Hive, Spark, Sqoop, Flume, and KafkaWould get a chance to be part of the enterprise-grade implementation of Cloud and Big Data systems
• Will play an active role in setting up the Modern data platform based on Cloud and Big Data
• Would be part of teams with rich experience in various aspects of distributed systems and computing

JOB DESCRIPTION

• 2 to 6 years of experience in imparting technical training/ mentoring  
• Must have very strong concepts of Data Analytics
• Must have hands-on and training experience on Python, Advanced Python, R programming, SAS and machine learning
• Must have good knowledge of SQL and Advanced SQL
• Should have basic knowledge of Statistics
• Should be good in Operating systems GNU/Linux, Network fundamentals,        
• Must have knowledge on MS office (Excel/ Word/ PowerPoint)                           
• Self-Motivated and passionate about technology                                     
• Excellent analytical and logical skills and team player                               
• Must have exceptional Communication Skills/ Presentation Skills                         
• Good Aptitude skills is preferred                        
• Exceptional communication skills

Responsibilities:                                                                                         

• Ability to quickly learn any new technology and impart the same to other employees
• Ability to resolve all technical queries of students
• Conduct training sessions and drive the placement driven quality in the training
• Must be able to work independently without the supervision of a senior person
• Participate in reviews/ meetings                                                                                                          

Qualification:                                                                               

• UG: Any Graduate in IT/Computer Science, B.Tech/B.E. – IT/ Computers
• PG: MCA/MS/MSC – Computer Science
• Any Graduate/ Post graduate, provided they are certified in similar courses

ABOUT EDUBRIDGE

EduBridge is an Equal Opportunity employer and we believe in building a meritorious culture where everyone is recognized for their skills and contribution.

Launched in 2009 EduBridge Learning is a workforce development and skilling organization with 50+ training academies in 18 States pan India. The organization has been providing skilled manpower to corporates for over 10 years and is a leader in its space. We have trained over a lakh semi urban & economically underprivileged youth on relevant life skills and industry-specific skills and provided placements in over 500 companies. Our latest product E-ON is committed to complementing our training delivery with an Online training platform, enabling the students to learn anywhere and anytime.

To know more about EduBridge please visit: http://www.edubridgeindia.com/">http://www.edubridgeindia.com/

You can also visit us on https://www.facebook.com/Edubridgelearning/">Facebook , https://www.linkedin.com/company/edubridgelearning/">LinkedIn for our latest initiatives and products

Day-to-day Activities
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

Job Description :- 5 to 11 years experience- Experienced any of the BI tools like PowerBI, QlikView.- Writing SQLqueries/functions/procedures on big data.- Apt in databases NO SQL : mongoDB/ Cassandra OR MySQL, PostgresSQL, SQLServer- Able to Analyze clean,massage, cleanse and organize raw (big) data. - Manage Security for data on AWS or Azure cloud platform - Create, validate and maintain optimal data pipelines, assemble large, complex data sets - Helps in Structuring for upstream / downstream processing

The hunt is for a AWS BigData /DWH Architect with the ability to manage effective relationships with a wide range of stakeholders (customers & team members alike). Incumbent will demonstrate personal commitment and accountability to ensure standards are continuously sustained and improved both within the internal teams, and with partner organizations and suppliers. We at Nitor Infotech a Product Engineering Services company are always on hunt for some best talents in the IT industry & keeping with our trend of What next in IT. We are scouting for result oriented resources with passion for product, technology services, and creating great customer experiences. Someone who can take our current expertise & footprint of Nitor Infotech Inc., to an altogether different dimension & level in tune with the emerging market trends and ensure Brilliance @ Work continues to prevail in whatever we do. Nitor Infotech works with global ISVs to help them build and accelerate their product development. Nitor is able to do so because of the fact that product development is its DNA. This DNA is enriched by its 10 years of expertise, best practices and frameworks & Accelerators. Because of this ability Nitor Infotech has been able to build business relationships with product companies having revenues from $50 Million to $1 Billion. • 7-12+ years of relevant experience of working in Database, BI and Analytics space with over 0-2 yrs of architecting and designing data warehouse experience including 2 to 3 yrs in Big Data ecosystem • Experience in data warehouse design in AWS • Strong architecting, programming, design skills and proven track record of architecting and building large scale, distributed big data solutions • Professional and technical advice on Big Data concepts and technologies, in particular highlighting the business potential through real-time analysis • Provides technical leadership in Big Data space (Hadoop Stack like M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, etc. NoSQL stores like Mongodb, Cassandra, HBase etc.) • Performance tuning of Hadoop clusters and Hadoop MapReduce routines. • Evaluate and recommend Big Data technology stack for the platform • Drive significant technology initiatives end to end and across multiple layers of architecture • Should have breadth of BI knowledge which includes:  MSBI, Database design, new visualization tools like Tableau, Qlik View, Power BI  Understand internals and intricacies of Old and New DB platform which includes:  Strong RDMS DB Fundamentals either of it SQL Server/ MySQL/ Oracle  DB and DWH design  Designing Semantic Model using OLAP and Tabular model using MS and Non MS tools  No SQL DBs including Document, Graph, Search and Columnar DBs • Excellent communication skills and strong ability to build good rapport with prospect and existing customers • Be a Mentor and go to person for Jr. team members in the team Qualification & Experience: · Educational qualification: BE/ME/B.Tech/M.Tech, BCA/MCA/BCS/MCS, any other degree with relevant IT qualification.