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- 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
Python1. Bridging the gap between IT and the business using data analytics to assess processes, determine requirements and deliver data-driven recommendations and reports to executives and stakeholders.
2. Ability to search, extract, transform and load data from various databases, cleanse and refine data until it is fit-for-purpose
3. Work within various time constraints to meet critical business needs, while measuring and identifying activities performed and ensuring service requirements are met
4. Prioritization of issues to meet deadlines while ensuring high-quality delivery
5. Ability to pull data and to perform ad hoc reporting and analysis as needed
6. Ability to adapt quickly to new and changing technical environments as well as strong analytical and problem-solving abilities
7. Strong interpersonal and presentation skills
SKILLS:
1. Advanced skills in designing reporting interfaces and interactive dashboards in Google Sheets and Excel
2. Experience working with senior decision-makers
3. Strong advanced SQL/MySQL and Python skills with the ability to fetch data from the Data Warehouse as per the stakeholder's requirement
4. Good Knowledge and experience in Excel VBA and advanced excel
5. Good Experience in building Tableau analytical Dashboards as per the stake holder's reporting requirements
6. Strong communication/interpersonal skills
PERSONA:
1. Experience in working on adhoc requirements
2. Ability to toggle around with shifting priorities
3. Experience in working for Fintech or E-commerce industry is preferable
4. Engineering 2+ years of experience as a Business Analyst for the finance processes
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
Design, implement, and improve the analytics platform
Implement and simplify self-service data query and analysis capabilities of the BI platform
Develop and improve the current BI architecture, emphasizing data security, data quality
and timeliness, scalability, and extensibility
Deploy and use various big data technologies and run pilots to design low latency
data architectures at scale
Collaborate with business analysts, data scientists, product managers, software development engineers,
and other BI teams to develop, implement, and validate KPIs, statistical analyses, data profiling, prediction,
forecasting, clustering, and machine learning algorithms
Educational
At Ganit we are building an elite team, ergo we are seeking candidates who possess the
following backgrounds:
7+ years relevant experience
Expert level skills writing and optimizing complex SQL
Knowledge of data warehousing concepts
Experience in data mining, profiling, and analysis
Experience with complex data modelling, ETL design, and using large databases
in a business environment
Proficiency with Linux command line and systems administration
Experience with languages like Python/Java/Scala
Experience with Big Data technologies such as Hive/Spark
Proven ability to develop unconventional solutions, sees opportunities to
innovate and leads the way
Good experience of working in cloud platforms like AWS, GCP & Azure. Having worked on
projects involving creation of data lake or data warehouse
Excellent verbal and written communication.
Proven interpersonal skills and ability to convey key insights from complex analyses in
summarized business terms. Ability to effectively communicate with multiple teams
Good to have
AWS/GCP/Azure Data Engineer Certification
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.
Amazon Web Services (AWS)Job DescriptionPosition: Sr Data Engineer – Databricks & AWS
Experience: 4 - 5 Years
Company Profile:
Exponentia.ai is an AI tech organization with a presence across India, Singapore, the Middle East, and the UK. We are an innovative and disruptive organization, working on cutting-edge technology to help our clients transform into the enterprises of the future. We provide artificial intelligence-based products/platforms capable of automated cognitive decision-making to improve productivity, quality, and economics of the underlying business processes. Currently, we are transforming ourselves and rapidly expanding our business.
Exponentia.ai has developed long-term relationships with world-class clients such as PayPal, PayU, SBI Group, HDFC Life, Kotak Securities, Wockhardt and Adani Group amongst others.
One of the top partners of Cloudera (leading analytics player) and Qlik (leader in BI technologies), Exponentia.ai has recently been awarded the ‘Innovation Partner Award’ by Qlik in 2017.
Get to know more about us on our website: http://www.exponentia.ai/ and Life @Exponentia.
Role Overview:
· A Data Engineer understands the client requirements and develops and delivers the data engineering solutions as per the scope.
· The role requires good skills in the development of solutions using various services required for data architecture on Databricks Delta Lake, streaming, AWS, ETL Development, and data modeling.
Job Responsibilities
• Design of data solutions on Databricks including delta lake, data warehouse, data marts and other data solutions to support the analytics needs of the organization.
• Apply best practices during design in data modeling (logical, physical) and ETL pipelines (streaming and batch) using cloud-based services.
• Design, develop and manage the pipelining (collection, storage, access), data engineering (data quality, ETL, Data Modelling) and understanding (documentation, exploration) of the data.
• Interact with stakeholders regarding data landscape understanding, conducting discovery exercises, developing proof of concepts and demonstrating it to stakeholders.
Technical Skills
• Has more than 2 Years of experience in developing data lakes, and datamarts on the Databricks platform.
• Proven skill sets in AWS Data Lake services such as - AWS Glue, S3, Lambda, SNS, IAM, and skills in Spark, Python, and SQL.
• Experience in Pentaho
• Good understanding of developing a data warehouse, data marts etc.
• Has a good understanding of system architectures, and design patterns and should be able to design and develop applications using these principles.
Personality Traits
• Good collaboration and communication skills
• Excellent problem-solving skills to be able to structure the right analytical solutions.
• Strong sense of teamwork, ownership, and accountability
• Analytical and conceptual thinking
• Ability to work in a fast-paced environment with tight schedules.
• Good presentation skills with the ability to convey complex ideas to peers and management.
Education:
BE / ME / MS/MCA.
• Project Planning and Management
o Take end-to-end ownership of multiple projects / project tracks
o Create and maintain project plans and other related documentation for project
objectives, scope, schedule and delivery milestones
o Lead and participate across all the phases of software engineering, right from
requirements gathering to GO LIVE
o Lead internal team meetings on solution architecture, effort estimation, manpower
planning and resource (software/hardware/licensing) planning
o Manage RIDA (Risks, Impediments, Dependencies, Assumptions) for projects by
developing effective mitigation plans
• Team Management
o Act as the Scrum Master
o Conduct SCRUM ceremonies like Sprint Planning, Daily Standup, Sprint Retrospective
o Set clear objectives for the project and roles/responsibilities for each team member
o Train and mentor the team on their job responsibilities and SCRUM principles
o Make the team accountable for their tasks and help the team in achieving them
o Identify the requirements and come up with a plan for Skill Development for all team
members
• Communication
o Be the Single Point of Contact for the client in terms of day-to-day communication
o Periodically communicate project status to all the stakeholders (internal/external)
• Process Management and Improvement
o Create and document processes across all disciplines of software engineering
o Identify gaps and continuously improve processes within the team
o Encourage team members to contribute towards process improvement
o Develop a culture of quality and efficiency within the team
Must have:
• Minimum 08 years of experience (hands-on as well as leadership) in software / data engineering
across multiple job functions like Business Analysis, Development, Solutioning, QA, DevOps and
Project Management
• Hands-on as well as leadership experience in Big Data Engineering projects
• Experience developing or managing cloud solutions using Azure or other cloud provider
• Demonstrable knowledge on Hadoop, Hive, Spark, NoSQL DBs, SQL, Data Warehousing, ETL/ELT,
DevOps tools
• Strong project management and communication skills
• Strong analytical and problem-solving skills
• Strong systems level critical thinking skills
• Strong collaboration and influencing skills
Good to have:
• Knowledge on PySpark, Azure Data Factory, Azure Data Lake Storage, Synapse Dedicated SQL
Pool, Databricks, PowerBI, Machine Learning, Cloud Infrastructure
• Background in BFSI with focus on core banking
• Willingness to travel
Work Environment
• Customer Office (Mumbai) / Remote Work
Education
• UG: B. Tech - Computers / B. E. – Computers / BCA / B.Sc. Computer Science
Data Warehouse and Analytics solutions that aggregate data across diverse sources and data types
including text, video and audio through to live stream and IoT in an agile project delivery
environment with a focus on DataOps and Data Observability. You will work with Azure SQL
Databases, Synapse Analytics, Azure Data Factory, Azure Datalake Gen2, Azure Databricks, Azure
Machine Learning, Azure Service Bus, Azure Serverless (LogicApps, FunctionApps), Azure Data
Catalogue and Purview among other tools, gaining opportunities to learn some of the most
advanced and innovative techniques in the cloud data space.
You will be building Power BI based analytics solutions to provide actionable insights into customer
data, and to measure operational efficiencies and other key business performance metrics.
You will be involved in the development, build, deployment, and testing of customer solutions, with
responsibility for the design, implementation and documentation of the technical aspects, including
integration to ensure the solution meets customer requirements. You will be working closely with
fellow architects, engineers, analysts, and team leads and project managers to plan, build and roll
out data driven solutions
Expertise:
Proven expertise in developing data solutions with Azure SQL Server and Azure SQL Data Warehouse (now
Synapse Analytics)
Demonstrated expertise of data modelling and data warehouse methodologies and best practices.
Ability to write efficient data pipelines for ETL using Azure Data Factory or equivalent tools.
Integration of data feeds utilising both structured (ex XML/JSON) and flat schemas (ex CSV,TXT,XLSX)
across a wide range of electronic delivery mechanisms (API/SFTP/etc )
Azure DevOps knowledge essential for CI/CD of data ingestion pipelines and integrations.
Experience with object-oriented/object function scripting languages such as Python, Java, JavaScript, C#,
Scala, etc is required.
Expertise in creating technical and Architecture documentation (ex: HLD/LLD) is a must.
Proven ability to rapidly analyse and design solution architecture in client proposals is an added advantage.
Expertise with big data tools: Hadoop, Spark, Kafka, NoSQL databases, stream-processing systems is a plus.
Essential Experience:
5 or more years of hands-on experience in a data architect role with the development of ingestion,
integration, data auditing, reporting, and testing with Azure SQL tech stack.
full data and analytics project lifecycle experience (including costing and cost management of data
solutions) in Azure PaaS environment is essential.
Microsoft Azure and Data Certifications, at least fundamentals, are a must.
Experience using agile development methodologies, version control systems and repositories is a must.
A good, applied understanding of the end-to-end data process development life cycle.
A good working knowledge of data warehouse methodology using Azure SQL.
A good working knowledge of the Azure platform, it’s components, and the ability to leverage it’s
resources to implement solutions is a must.
Experience working in the Public sector or in an organisation servicing Public sector is a must,
Ability to work to demanding deadlines, keep momentum and deal with conflicting priorities in an
environment undergoing a programme of transformational change.
The ability to contribute and adhere to standards, have excellent attention to detail and be strongly driven
by quality.
Desirables:
Experience with AWS or google cloud platforms will be an added advantage.
Experience with Azure ML services will be an added advantage Personal Attributes
Articulated and clear in communications to mixed audiences- in writing, through presentations and one-toone.
Ability to present highly technical concepts and ideas in a business-friendly language.
Ability to effectively prioritise and execute tasks in a high-pressure environment.
Calm and adaptable in the face of ambiguity and in a fast-paced, quick-changing environment
Extensive experience working in a team-oriented, collaborative environment as well as working
independently.
Comfortable with multi project multi-tasking consulting Data Architect lifestyle
Excellent interpersonal skills with teams and building trust with clients
Ability to support and work with cross-functional teams in a dynamic environment.
A passion for achieving business transformation; the ability to energise and excite those you work with
Initiative; the ability to work flexibly in a team, working comfortably without direct supervision.
- Key responsibility is to design and develop a data pipeline including the architecture, prototyping, and development of data extraction, transformation/processing, cleansing/standardizing, and loading in Data Warehouse at real-time/near the real-time frequency. Source data can be structured, semi-structured, and/or unstructured format.
- Provide technical expertise to design efficient data ingestion solutions to consolidate data from RDBMS, APIs, Messaging queues, weblogs, images, audios, documents, etc of Enterprise Applications, SAAS applications, external 3rd party sites or APIs, etc through ETL/ELT, API integrations, Change Data Capture, Robotic Process Automation, Custom Python/Java Coding, etc
- Development of complex data transformation using Talend (BigData edition), Python/Java transformation in Talend, SQL/Python/Java UDXs, AWS S3, etc to load in OLAP Data Warehouse in Structured/Semi-structured form
- Development of data model and creating transformation logic to populate models for faster data consumption with simple SQL.
- Implementing automated Audit & Quality assurance checks in Data Pipeline
- Document & maintain data lineage to enable data governance
- Coordination with BIU, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc
Requirements
- Programming experience using Python / Java, to create functions / UDX
- Extensive technical experience with SQL on RDBMS (Oracle/MySQL/Postgresql etc) including code optimization techniques
- Strong ETL/ELT skillset using Talend BigData Edition. Experience in Talend CDC & MDM functionality will be an advantage.
- Experience & expertise in implementing complex data pipelines, including semi-structured & unstructured data processing
- Expertise to design efficient data ingestion solutions to consolidate data from RDBMS, APIs, Messaging queues, weblogs, images, audios, documents, etc of Enterprise Applications, SAAS applications, external 3rd party sites or APIs, etc through ETL/ELT, API integrations, Change Data Capture, Robotic Process Automation, Custom Python/Java Coding, etc
- Good understanding & working experience in OLAP Data Warehousing solutions (Redshift, Synapse, Snowflake, Teradata, Vertica, etc) and cloud-native Data Lake (S3, ADLS, BigQuery, etc) solutions
- Familiarity with AWS tool stack for Storage & Processing. Able to recommend the right tools/solutions available to address a technical problem
- Good knowledge of database performance and tuning, troubleshooting, query optimization, and tuning
- Good analytical skills with the ability to synthesize data to design and deliver meaningful information
- Good knowledge of Design, Development & Performance tuning of 3NF/Flat/Hybrid Data Model
- Know-how on any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc) will be an advantage.
- Ability to understand business functionality, processes, and flows
- Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently
Functional knowledge
- Data Governance & Quality Assurance
- Distributed computing
- Linux
- Data structures and algorithm
- Unstructured Data Processing
Python- Key responsibility is to design, develop & maintain efficient Data models for the organization maintained to ensure optimal query performance by the consumption layer.
- Developing, Deploying & maintaining a repository of UDXs written in Java / Python.
- Develop optimal Data Model design, analyzing complex distributed data deployments, and making recommendations to optimize performance basis data consumption patterns, performance expectations, the query is executed on the tables/databases, etc.
- Periodic Database health check and maintenance
- Designing collections in a no-SQL Database for efficient performance
- Document & maintain data dictionary from various sources to enable data governance
- Coordination with Business teams, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc
- Data Governance Process Implementation and ensuring data security
Requirements
- Extensive working experience in Designing & Implementing Data models in OLAP Data Warehousing solutions (Redshift, Synapse, Snowflake, Teradata, Vertica, etc).
- Programming experience using Python / Java.
- Working knowledge in developing & deploying User-defined Functions (UDXs) using Java / Python.
- Strong understanding & extensive working experience in OLAP Data Warehousing (Redshift, Synapse, Snowflake, Teradata, Vertica, etc) architecture and cloud-native Data Lake (S3, ADLS, BigQuery, etc) Architecture.
- Strong knowledge in Design, Development & Performance tuning of 3NF/Flat/Hybrid Data Model.
- Extensive technical experience in SQL including code optimization techniques.
- Strung knowledge of database performance and tuning, troubleshooting, and tuning.
- Knowledge of collection design in any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc), along with implementation of best practices.
- Ability to understand business functionality, processes, and flows.
- Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently.
- Any OLAP DWH DBA Experience and User Management will be added advantage.
- Knowledge in financial industry-specific Data models such as FSLDM, IBM Financial Data Model, etc will be added advantage.
- Experience in Snowflake will be added advantage.
- Working experience in BFSI/NBFC & data understanding of Loan/Mortgage data will be added advantage.
Functional knowledge
- Data Governance & Quality Assurance
- Modern OLAP Database Architecture & Design
- Linux
- Data structures, algorithm & data modeling techniques
- No-SQL database architecture
- Data Security
Data AnalyticsPython
R Programming
Machine Learning (ML)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
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