Who is IDfy?
IDfy is the Fintech ScaleUp of the Year 2021. We build technology products that identify people accurately. This helps businesses prevent fraud and engage with the genuine with the least amount of friction. If you have opened an account with HDFC Bank or ordered from Amazon and Zomato or transacted through Paytm and BharatPe or played on Dream11 and MPL, you might have already experienced IDfy. Without even knowing it. Well…that’s just how we roll. Global credit rating giant TransUnion is an investor in IDfy. So are international venture capitalists like MegaDelta Capital, BEENEXT, and Dream Incubator. Blume Ventures is an early investor and continues to place its faith in us. We have kept our 500 clients safe from fraud while helping the honest get the opportunities they deserve. Our 350-people strong family works and plays out of our offices in suburban Mumbai. IDfy has run verifications on 100 million people. In the next 2 years, we want to touch a billion users. If you wish to be part of this journey filled with lots of action and learning, we welcome you to be part of the team!
What are we looking for?
As a senior software engineer in Data Fabric POD, you would be responsible for producing and implementing functional software solutions. You will work with upper management to define software requirements and take the lead on operational and technical projects. You would be working with a data management and science platform which provides Data as a service (DAAS) and Insight as a service (IAAS) to internal employees and external stakeholders.
You are eager to learn technology-agnostic who loves working with data and drawing insights from it. You have excellent organization and problem-solving skills and are looking to build the tools of the future. You have exceptional communication skills and leadership skills and the ability to make quick decisions.
YOE: 3 - 10 yrs
Position: Sr. Software Engineer/Module Lead/Technical Lead
Responsibilities:
- Work break-down and orchestrating the development of components for each sprint.
- Identifying risks and forming contingency plans to mitigate them.
- Liaising with team members, management, and clients to ensure projects are completed to standard.
- Inventing new approaches to detecting existing fraud. You will also stay ahead of the game by predicting future fraud techniques and building solutions to prevent them.
- Developing Zero Defect Software that is secured, instrumented, and resilient.
- Creating design artifacts before implementation.
- Developing Test Cases before or in parallel with implementation.
- Ensuring software developed passes static code analysis, performance, and load test.
- Developing various kinds of components (such as UI Components, APIs, Business Components, image Processing, etc. ) that define the IDfy Platforms which drive cutting-edge Fraud Detection and Analytics.
- Developing software using Agile Methodology and tools that support the same.
Requirements:
- Apache BEAM, Clickhouse, Grafana, InfluxDB, Elixir, BigQuery, Logstash.
- An understanding of Product Development Methodologies.
- Strong understanding of relational databases especially SQL and hands-on experience with OLAP.
- Experience in the creation of data ingestion pipelines and ETL pipeline (Good to have Apache Beam or Apache Airflow experience).
- Strong design skills in defining API Data Contracts / OOAD / Microservices / Data Models.
Good to have:
- Experience with TimeSeries DBs (we use InfluxDB) and Alerting / Anomaly Detection Frameworks.
- Visualization Layers: Metabase, PowerBI, Tableau.
- Experience in developing software in the Cloud such as GCP / AWS.
- A passion to explore new technologies and express yourself through technical blogs.
About IDfy
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Analytics Job Description
We are hiring an Analytics Engineer to help drive our Business Intelligence efforts. You will
partner closely with leaders across the organization, working together to understand the how
and why of people, team and company challenges, workflows and culture. The team is
responsible for delivering data and insights that drive decision-making, execution, and
investments for our product initiatives.
You will work cross-functionally with product, marketing, sales, engineering, finance, and our
customer-facing teams enabling them with data and narratives about the customer journey.
You’ll also work closely with other data teams, such as data engineering and product analytics,
to ensure we are creating a strong data culture at Blend that enables our cross-functional partners
to be more data-informed.
Role : DataEngineer
Please find below the JD for the DataEngineer Role..
Location: Guindy,Chennai
How you’ll contribute:
• Develop objectives and metrics, ensure priorities are data-driven, and balance short-
term and long-term goals
• Develop deep analytical insights to inform and influence product roadmaps and
business decisions and help improve the consumer experience
• Work closely with GTM and supporting operations teams to author and develop core
data sets that empower analyses
• Deeply understand the business and proactively spot risks and opportunities
• Develop dashboards and define metrics that drive key business decisions
• Build and maintain scalable ETL pipelines via solutions such as Fivetran, Hightouch,
and Workato
• Design our Analytics and Business Intelligence architecture, assessing and
implementing new technologies that fitting
• Work with our engineering teams to continually make our data pipelines and tooling
more resilient
Who you are:
• Bachelor’s degree or equivalent required from an accredited institution with a
quantitative focus such as Economics, Operations Research, Statistics, Computer Science OR 1-3 Years of Experience as a Data Analyst, Data Engineer, Data Scientist
• Must have strong SQL and data modeling skills, with experience applying skills to
thoughtfully create data models in a warehouse environment.
• A proven track record of using analysis to drive key decisions and influence change
• Strong storyteller and ability to communicate effectively with managers and
executives
• Demonstrated ability to define metrics for product areas, understand the right
questions to ask and push back on stakeholders in the face of ambiguous, complex
problems, and work with diverse teams with different goals
• A passion for documentation.
• A solution-oriented growth mindset. You’ll need to be a self-starter and thrive in a
dynamic environment.
• A bias towards communication and collaboration with business and technical
stakeholders.
• Quantitative rigor and systems thinking.
• Prior startup experience is preferred, but not required.
• Interest or experience in machine learning techniques (such as clustering, decision
tree, and segmentation)
• Familiarity with a scientific computing language, such as Python, for data wrangling
and statistical analysis
• Experience with a SQL focused data transformation framework such as dbt
• Experience with a Business Intelligence Tool such as Mode/Tableau
Mandatory Skillset:
-Very Strong in SQL
-Spark OR pyspark OR Python
-Shell Scripting
Preferred Education & Experience:
•Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics or related technical field or equivalent practical experience.
Well-versed in and 5+ years of hands-on demonstrable experience with:
▪Data Analysis & Data Modeling
Database Design & Implementation
Database Performance Tuning & Optimization
▪PL/pgSQL & SQL
•5+ years of hands-on development experience in Relational Database (PostgreSQL/SQL
Server/Oracle).
•5+ years of hands-on development experience in SQL, PL/PgSQL, including stored procedures,
functions, triggers, and views.
Hands-on experience with demonstrable working experience in Database Design Principles, SQL
Query Optimization Techniques, Index Management, Integrity Checks, Statistics, and Isolation
levels.
Hands-on experience with demonstrable working experience in Database Read & Write
Performance Tuning & Optimization.
•Knowledge and Experience working in Domain Driven Design (DDD) Concepts, Object Oriented
Programming System (OOPS) Concepts, Cloud Architecture Concepts, NoSQL Database Concepts
are added values
•Knowledge and working experience in Oil & Gas, Financial, & Automotive Domains is a plus
Hands-on development experience in one or more NoSQL datastores such as Cassandra, HBase,
MongoDB, DynamoDB, Elastic Search, Neo4J, etc. a plus
Job Location : Pune/Remote
Work Timings : 2.30 pm-11:30 pm
Joining Period : Immediate-20 day
Job Description:
An Azure Data Engineer is responsible for designing, implementing, and maintaining pipelines and ETL/ ELT flow solutions on the Azure cloud platform. This role requires a strong understanding of migration database technologies and the ability to deploy and manage database solutions in the Azure cloud environment.
Key Skills:
· Min. 3+ years of Experience with data modeling, data warehousing, and building ETL pipelines.
· Must have a firm knowledge of SQL, NoSQL, SSIS SSRS, and ETL/ELT Concepts.
· Should have hands-on experience in Databricks, ADF (Azure Data Factory), ADLS, Cosmos DB.
· Excel in the design, creation, and management of very large datasets
· Detailed knowledge of cloud-based data warehouses, architecture, infrastructure components, ETL, and reporting analytics tools and environments.
· Skilled with writing, tuning, and troubleshooting SQL queries
· Experience with Big Data technologies such as Data storage, Data mining, Data analytics, and Data visualization.
· Should be familiar with programming and should be able to write and debug the code in any of the programming languages like Node, Python, C#, .Net, Java.
Technical Expertise and Familiarity:
- Cloud Technologies: Azure (ADF, ADB, Logic Apps, Azure SQL database, Azure Key Vaults, ADLS, Synapse)
- Database: CosmosDB, Document DB
- IDEs: Visual Studio, VS Code, MS SQL Server
- Data Modelling,ELT, ETL Methodology
Responsibilities :
- Involve in planning, design, development and maintenance of large-scale data repositories, pipelines, analytical solutions and knowledge management strategy
- Build and maintain optimal data pipeline architecture to ensure scalability, connect operational systems data for analytics and business intelligence (BI) systems
- Build data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
- Reporting and obtaining insights from large data chunks on import/export and communicating relevant pointers for helping in decision-making
- Preparation, analysis, and presentation of reports to the management for further developmental activities
- Anticipate, identify and solve issues concerning data management to improve data quality
Requirements :
- Ability to build and maintain ETL pipelines
- Technical Business Analysis experience and hands-on experience developing functional spec
- Good understanding of Data Engineering principles including data modeling methodologies
- Sound understanding of PostgreSQL
- Strong analytical and interpersonal skills as well as reporting capabilities
Job Location: Chennai
Job Summary
The Engineering team is seeking a Data Architect. As a Data Architect, you will drive a
Data Architecture strategy across various Data Lake platforms. You will help develop
reference architecture and roadmaps to build highly available, scalable and distributed
data platforms using cloud based solutions to process high volume, high velocity and
wide variety of structured and unstructured data. This role is also responsible for driving
innovation, prototyping, and recommending solutions. Above all, you will influence how
users interact with Conde Nast’s industry-leading journalism.
Primary Responsibilities
Data Architect is responsible for
• Demonstrated technology and personal leadership experience in architecting,
designing, and building highly scalable solutions and products.
• Enterprise scale expertise in data management best practices such as data integration,
data security, data warehousing, metadata management and data quality.
• Extensive knowledge and experience in architecting modern data integration
frameworks, highly scalable distributed systems using open source and emerging data
architecture designs/patterns.
• Experience building external cloud (e.g. GCP, AWS) data applications and capabilities is
highly desirable.
• Expert ability to evaluate, prototype and recommend data solutions and vendor
technologies and platforms.
• Proven experience in relational, NoSQL, ELT/ETL technologies and in-memory
databases.
• Experience with DevOps, Continuous Integration and Continuous Delivery technologies
is desirable.
• This role requires 15+ years of data solution architecture, design and development
delivery experience.
• Solid experience in Agile methodologies (Kanban and SCRUM)
Required Skills
• Very Strong Experience in building Large Scale High Performance Data Platforms.
• Passionate about technology and delivering solutions for difficult and intricate
problems. Current on Relational Databases and No sql databases on cloud.
• Proven leadership skills, demonstrated ability to mentor, influence and partner with
cross teams to deliver scalable robust solutions..
• Mastery of relational database, NoSQL, ETL (such as Informatica, Datastage etc) /ELT
and data integration technologies.
• Experience in any one of Object Oriented Programming (Java, Scala, Python) and
Spark.
• Creative view of markets and technologies combined with a passion to create the
future.
• Knowledge on cloud based Distributed/Hybrid data-warehousing solutions and Data
Lake knowledge is mandate.
• Good understanding of emerging technologies and its applications.
• Understanding of code versioning tools such as GitHub, SVN, CVS etc.
• Understanding of Hadoop Architecture and Hive SQL
• Knowledge in any one of the workflow orchestration
• Understanding of Agile framework and delivery
•
Preferred Skills:
● Experience in AWS and EMR would be a plus
● Exposure in Workflow Orchestration like Airflow is a plus
● Exposure in any one of the NoSQL database would be a plus
● Experience in Databricks along with PySpark/Spark SQL would be a plus
● Experience with the Digital Media and Publishing domain would be a
plus
● Understanding of Digital web events, ad streams, context models
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right
move to invest heavily in understanding this data and formed a whole new Data team
entirely dedicated to data processing, engineering, analytics, and visualization. This team
helps drive engagement, fuel process innovation, further content enrichment, and increase
market revenue. The Data team aimed to create a company culture where data was the
common language and facilitate an environment where insights shared in real-time could
improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The
team at Condé Nast Chennai works extensively with data to amplify its brands' digital
capabilities and boost online revenue. We are broadly divided into four groups, Data
Intelligence, Data Engineering, Data Science, and Operations (including Product and
Marketing Ops, Client Services) along with Data Strategy and monetization. The teams built
capabilities and products to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are
Condé Nast, and It Starts Here.
Work closely with Product Managers to drive product improvements through data driven decisions.
Conduct analysis to determine new project pilot settings, new features, user behaviour, and in-app behaviour.
Present insights and recommendations to leadership using high quality visualizations and concise messaging.
Own the implementation of data collection and tracking, and co-ordinate with engineering and product team.
Create and maintain dashboards for product and business teams.
Requirements
1+ years’ experience in analytics. Experience as Product analyst will be added advantage.
Technical skills: SQL, Advanced Excel
Good to have: R/Python, Dashboarding experience
Ability to translate structured and unstructured problems into analytical framework
Excellent analytical skills
Good communication & interpersonal skills
Ability to work in a fast-paced start-up environment, learn on the job and get things done.
We at Datametica Solutions Private Limited are looking for SQL Engineers who have a passion for cloud with knowledge of different on-premise 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 : 4-10 years
Location : Pune
Mandatory Skills -
- Strong in ETL/SQL development
- Strong Data Warehousing skills
- Hands-on experience working with Unix/Linux
- Development experience in Enterprise Data warehouse projects
- Good to have experience working with Python, shell scripting
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 Kafka
- Would get 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
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!
http://www.datametica.com/">www.datametica.com
● Working on an awesome AI product for the eCommerce domain.
● Build the next-generation information extraction, computer vision product powered
by state-of-the-art AI and Deep Learning techniques.
● Work with an international top-notch engineering team with full commitment to
Machine Learning development.
Desired Candidate Profile
● Passionate about search & AI technologies. Open to collaborating with colleagues &
external contributors.
● Good understanding of the mainstream deep learning models from multiple domains:
computer vision, NLP, reinforcement learning, model optimization, etc.
● Hands-on experience on deep learning frameworks, e.g. Tensorflow, Pytorch, MXNet,
BERT. Able to implement the latest DL model using existing API, open-source libraries
in a short time.
● Hands-on experience with the Cloud-Native techniques. Good understanding of web
services and modern software technologies.
● Maintained/contributed machine learning projects, familiar with the agile software
development process, CICD workflow, ticket management, code-review, version
control, etc.
● Skilled in the following programming languages: Python 3.
● Good English skills especially for writing and reading documentation
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.