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Merito is a curated talent platform that helps growth companies to identify and hire quality talent faster. Setup by team of IIM Ahmedabad and HEC Paris alumni Merito with its unique approaches changing the way hiring is done.
Responsibilities
- Develop content for marketing like creatives, blogs, podcast and videos
- Organize various marketing campaigns across different platforms.
- Design ,plan, and execute them and measure it's effectiveness.
- Keep an eye on all marketing channels from website to social media and everything else in between.
- Create brand awareness , come up with creative and innovative ideas and help in advertising and promoting.
- Attract,convert and monitor the marketing traffic and achieve the desired goals.
- Come up with content strategies based on business objectives for our targeted audience across all platforms.
- The marketing budgets are in your hands to acquire effective tools and resources , and the budget for various projects, would be handled by you as well.
- You've the authority to implement and improve any ongoing marketing strategy and plan a better one if required.
- Always make a note of the competitor's strategies and look out for their next move. Keep yourself updated with the new marketing trends.
Requirements
- You know market segmentations, product and service strategy, competitive strategy, and product/service development inside out
- Understand key marketing performance metrics and tracking tools to provide market research, forecasts, competitive analyses, campaign results etc.
- Your knowledge about various marketing and analytical tools for B2B marketing such as Google Analytics, Google Ads, LinkedIn Marketing, Hubspot is essential
- Oversee and grow the marketing department, consistently identifying revenue opportunities within our established client base and managing consistent growth by securing new accounts
- You should have done content driven marketing (blogs, podcasts, videos etc.)
- Your verbal & written communication skills have always been on point.
- Should know tools like Hubspot, Zoho CRM, making marketing pipeling and architectural solutions
- Collaborate with the sales team to translate marketing efforts in tangible sales outcome
- Should have hands on understanding of the cross platform performance marketing
Benefits :
- Fixed + variable salary
- Flexible timings
Data Analytics
Google AnalyticsStrong Lead – User Research & Analyst profile (behavioural/user/product/ux analytics)
Mandatory (Experience 1): Must have 10+ years of experience in Behavioral Data Analytics, User Research, or Product Insights, driving data-informed decision-making for B2C digital products (web and app).
Mandatory (Experience 2): Must have 6 months+ experience in analyzing user journeys, clickstream, and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, Firebase, or Amplitude.
Mandatory (Experience 3): Experience in leading cross-functional user research and analytics initiatives in collaboration with Product, Design, Engineering, and Business teams to translate behavioral insights into actionable strategies.
Mandatory (Skills 1): Strong expertise in A/B testing and experimentation, including hypothesis design, execution, statistical validation, and impact interpretation.
Mandatory (Skills 2): Ability to identify behavioral patterns, funnel drop-offs, engagement trends, and user journey anomalies using large datasets and mixed-method analysis.
Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization/storytelling tools such as Tableau, Power BI, or Looker for executive reporting and dashboard creation.
Mandatory (Skills 4): Deep understanding of UX principles, customer journey mapping, and product experience design, with experience integrating qualitative and quantitative insights.
Mandatory (Company): B2C product organizations (fintech, e-commerce, edtech, or consumer platforms) with large-scale user datasets and analytics maturity.
Mandatory (Note): Don’t want data analysts; looking for strategic behavioral insight leaders or research-driven analytics professionals focused on user behavior and product decision-making.
consulting & implementation services in the area of Oil & Gas, Mining and Manufacturing Industry
Python- Data Engineer
Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON
Mandatory Requirements
- Experience in AWS Glue
- Experience in Apache Parquet
- Proficient in AWS S3 and data lake
- Knowledge of Snowflake
- Understanding of file-based ingestion best practices.
- Scripting language - Python & pyspark
CORE RESPONSIBILITIES
- Create and manage cloud resources in AWS
- Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies
- Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform
- Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations
- Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
- Define process improvement opportunities to optimize data collection, insights and displays.
- Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible
- Identify and interpret trends and patterns from complex data sets
- Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.
- Key participant in regular Scrum ceremonies with the agile teams
- Proficient at developing queries, writing reports and presenting findings
- Mentor junior members and bring best industry practices
QUALIFICATIONS
- 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)
- Strong background in math, statistics, computer science, data science or related discipline
- Advanced knowledge one of language: Java, Scala, Python, C#
- Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake
- Proficient with
- Data mining/programming tools (e.g. SAS, SQL, R, Python)
- Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
- Data visualization (e.g. Tableau, Looker, MicroStrategy)
- Comfortable learning about and deploying new technologies and tools.
- Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.
- Good written and oral communication skills and ability to present results to non-technical audiences
- Knowledge of business intelligence and analytical tools, technologies and techniques.
Familiarity and experience in the following is a plus:
- AWS certification
- Spark Streaming
- Kafka Streaming / Kafka Connect
- ELK Stack
- Cassandra / MongoDB
- CI/CD: Jenkins, GitLab, Jira, Confluence other related tools
Skill Name: ETL Automation Testing
Location: Bangalore, Chennai and Pune
Experience: 5+ Years
Required:
Experience in ETL Automation Testing
Strong experience in Pyspark.
Amazon Web Services (AWS)Enterprise Data Architect - Dataeconomy (25+ Years Experience)
About Dataeconomy:
Dataeconomy is a rapidly growing company at the forefront of Information Technology. We are driven by data and committed to using it to make better decisions, improve our products, and deliver exceptional value to our customers.
Job Summary:
Dataeconomy seeks a seasoned and strategic Enterprise Data Architect to lead the company's data transformation journey. With 25+ years of experience in data architecture and leadership, you will be pivotal in shaping our data infrastructure, governance, and culture. You will leverage your extensive expertise to build a foundation for future growth and innovation, ensuring our data assets are aligned with business objectives and drive measurable value.
Responsibilities:
Strategic Vision and Leadership:
Lead the creation and execution of a long-term data strategy aligned with the company's overall vision and goals.
Champion a data-driven culture across the organization, fostering cross-functional collaboration and data literacy.
Advise senior leadership on strategic data initiatives and their impact on business performance.
Architecture and Modernization:
Evaluate and modernize the existing data architecture, recommending and implementing innovative solutions.
Design and implement a scalable data lake/warehouse architecture for future growth.
Advocate for and adopt cutting-edge data technologies and best practices.
ETL Tool Experience (8+ years):
Extensive experience in designing, developing, and implementing ETL (Extract, Transform, Load) processes using industry-standard tools such as Informatica PowerCenter, IBM DataStage, Microsoft SSIS, or open-source options like Apache Airflow.
Proven ability to build and maintain complex data pipelines that integrate data from diverse sources, transform it into usable formats, and load it into target systems.
Deep understanding of data quality and cleansing techniques to ensure the accuracy and consistency of data across the organization.
Data Governance and Quality:
Establish and enforce a comprehensive data governance framework ensuring data integrity, consistency, and security.
Develop and implement data quality standards and processes for continuous data improvement.
Oversee the implementation of master data management and data lineage initiatives.
Collaboration and Mentorship:
Mentor and guide data teams, including architects, engineers, and analysts, on data architecture principles and best practices.
Foster a collaborative environment where data insights are readily shared and acted upon across the organization.
Build strong relationships with business stakeholders to understand and translate their data needs into actionable solutions.
Qualifications:
Education: master’s degree in computer science, Information Systems, or related field; Ph.D. preferred.
Experience: 25+ years of experience in data architecture and design, with 10+ years in a leadership role.
Technical Skills:
Deep understanding of TOGAF, AWS, MDM, EDW, Hadoop ecosystem (MapReduce, Hive, HBase, Pig, Flume, Scoop), cloud data platforms (Azure Synapse, Google Big Query), modern data pipelines, streaming analytics, data governance frameworks.
Proficiency in programming languages (Java, Python, SQL), scripting languages (Bash, Python), data modelling tools (ER diagramming software), and BI tools.
Extensive expertise in ETL tools (Informatica PowerCenter, IBM DataStage, Microsoft SSIS, Apache Airflow)
Familiarity with emerging data technologies (AI/ML, blockchain), data security and compliance frameworks.
Soft Skills:
Outstanding communication, collaboration, and leadership skills.
Strategic thinking and problem-solving abilities with a focus on delivering impactful solutions.
Strong analytical and critical thinking skills.
Ability to influence and inspire teams to achieve goals.
React.js
Redux/Flux
NodeJS (Node.js)About Us:
Nativebyte is a software services company with focus on building large scale enterprise applications which work with millions of users. We work with startups and large corporates alike to develop end to end technology solution for them.
Job Description:
We are looking for a great JavaScript developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.
Responsibilities
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Developing new user-facing features using React.js
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Building reusable components and front-end libraries for future use
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Translating designs and wireframes into high quality code
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Optimizing components for maximum performance across a vast array of web-capable devices and browsers
Skills:
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Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
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Thorough understanding of React.js and its core principles
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Experience with popular React.js workflows (such as Flux or Redux)
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Familiarity with newer specifications of EcmaScript
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Experience with data structure libraries (e.g., Immutable.js)
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Knowledge of isomorphic React is a plus
- Familiarity with RESTful APIs
- Knowledge of GraphQL is a plus.
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Knowledge of modern authorization mechanisms, such as JSON Web Token
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Familiarity with modern front-end build pipelines and tools
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Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
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Ability to understand business requirements and translate them into technical requirements
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A knack for benchmarking and optimization
Familiarity with code versioning tools such as Git
Timeline:
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Azure, Azure AD, ADFS, Azure AD Connect, Microsoft Identity management |
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Azure, Architecture, solution designing, Subscription Design |
Java
Ruby on Rails (ROR)
AngularJS (1.x)React.js
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