11+ Data domain Jobs in India
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at DeepIntent
Who You Are:
- In-depth and strong knowledge of SQL.
- Basic knowledge of Java.
- Basic scripting knowledge.
- Strong analytical skills.
- Excellent debugging skills and problem-solving.
What You’ll Do:
- Comfortable working in EST+IST Timezone
- Troubleshoot complex issues discovered in-house as well as in customer environments.
- Replicate customer environments/issues on Platform and Data and work to identify the root cause or provide interim workaround as needed.
- Ability to debug SQL queries associated with Data pipelines.
- Monitoring and debugging ETL jobs on a daily basis.
- Provide Technical Action plans to take a customer/product issue from start to resolution.
- Capture and document any Data incidents identified on Platform and maintain the history of such issues along with resolution.
- Identify product bugs and improvements based on customer environments and work to close them
- Ensure implementation/continuous improvement of formal processes to support product development activities.
- Good in external and internal communication across stakeholders.
- Bring in industry best practices around creating and maintaining robust data pipelines for complex data projects with/without AI component
- programmatically ingesting data from several static and real-time sources (incl. web scraping)
- rendering results through dynamic interfaces incl. web / mobile / dashboard with the ability to log usage and granular user feedbacks
- performance tuning and optimal implementation of complex Python scripts (using SPARK), SQL (using stored procedures, HIVE), and NoSQL queries in a production environment
- Industrialize ML / DL solutions and deploy and manage production services; proactively handle data issues arising on live apps
- Perform ETL on large and complex datasets for AI applications - work closely with data scientists on performance optimization of large-scale ML/DL model training
- Build data tools to facilitate fast data cleaning and statistical analysis
- Ensure data architecture is secure and compliant
- Resolve issues escalated from Business and Functional areas on data quality, accuracy, and availability
- Work closely with APAC CDO and coordinate with a fully decentralized team across different locations in APAC and global HQ (Paris).
You should be
- Expert in structured and unstructured data in traditional and Big data environments – Oracle / SQLserver, MongoDB, Hive / Pig, BigQuery, and Spark
- Have excellent knowledge of Python programming both in traditional and distributed models (PySpark)
- Expert in shell scripting and writing schedulers
- Hands-on experience with Cloud - deploying complex data solutions in hybrid cloud / on-premise environment both for data extraction/storage and computation
- Hands-on experience in deploying production apps using large volumes of data with state-of-the-art technologies like Dockers, Kubernetes, and Kafka
- Strong knowledge of data security best practices
- 5+ years experience in a data engineering role
- Science / Engineering graduate from a Tier-1 university in the country
- And most importantly, you must be a passionate coder who really cares about building apps that can help people do things better, smarter, and faster even when they sleep
Someone who has prior experience in Product Analytics/Marketing Analytics/Growth Analytics/Consumer analytics domain.
Has the ability to define success metrics for different initiatives or campaigns, drive ROI analysis & provide recommendations.
Strong analytics acumen and problem solving skills.
Good understanding of Clickstream/App events data, ability to build and understand user journeys across platforms.
Understanding of LTV modelling
Strong SQL skills and comfortable with python programming.
Basic knowledge of different regression models & clustering techniques.
Wolken Software provides a suite of AI-enabled, SaaS 2.0 cloud-native applications for Customer Service and Enterprise Solutions namely Wolken Service Desk, Wolken's IT Service Management, and Wolken's HR Case Management. We have replaced incumbents like Salesforce, ServiceNow Zendesk, etc. at various Fortune 500 and Fortune 1000 companies.
Job Description:
We are looking for a Business Analyst with strong organizational and planning skills and a proven ability to multitask in a fast-paced environment. We are seeking a high level of motivation and a self-starting attitude, and the ability to work with minimal direction and supervision. The ideal candidate will have a metrics/data-driven analytical mindset of constantly measuring success and driving continuous improvement in tools, content, and programs.
Business Analyst Qualifications / Skills:
- Able to exercise independent judgment and take action on it.
- Excellent analytical, and creative problem-solving skills
- Excellent listening, interpersonal, written, and oral communication skills
- Logical and efficient, with keen attention to detail
- Highly self-motivated and directed.
- Ability to effectively prioritize and execute tasks while under pressure.
- Strong customer service orientation
- Experience working in a team-oriented, collaborative environment.
- BE, MBA Preferable.
Responsibilities:
- Data analysis
- Business Insights
- Leadership
- Influence
- Strategy
- Problem structuring
- Project management
Data Engineer JD:
- Designing, developing, constructing, installing, testing and maintaining the complete data management & processing systems.
- Building highly scalable, robust, fault-tolerant, & secure user data platform adhering to data protection laws.
- Taking care of the complete ETL (Extract, Transform & Load) process.
- Ensuring architecture is planned in such a way that it meets all the business requirements.
- Exploring new ways of using existing data, to provide more insights out of it.
- Proposing ways to improve data quality, reliability & efficiency of the whole system.
- Creating data models to reduce system complexity and hence increase efficiency & reduce cost.
- Introducing new data management tools & technologies into the existing system to make it more efficient.
- Setting up monitoring and alarming on data pipeline jobs to detect failures and anomalies
What do we expect from you?
- BS/MS in Computer Science or equivalent experience
- 5 years of recent experience in Big Data Engineering.
- Good experience in working with Hadoop and Big Data technologies like HDFS, Pig, Hive, Zookeeper, Storm, Spark, Airflow and NoSQL systems
- Excellent programming and debugging skills in Java or Python.
- Apache spark, python, hands on experience in deploying ML models
- Has worked on streaming and realtime pipelines
- Experience with Apache Kafka or has worked with any of Spark Streaming, Flume or Storm
Focus Area:
R1 |
Data structure & Algorithms |
R2 |
Problem solving + Coding |
R3 |
Design (LLD) |
• Problem Solving:. Resolving production issues to fix service P1-4 issues. Problems relating to
introducing new technology, and resolving major issues in the platform and/or service.
• Software Development Concepts: Understands and is experienced with the use of a wide range of
programming concepts and is also aware of and has applied a range of algorithms.
• Commercial & Risk Awareness: Able to understand & evaluate both obvious and subtle commercial
risks, especially in relation to a programme.
Experience you would be expected to have
• Cloud: experience with one of the following cloud vendors: AWS, Azure or GCP
• GCP : Experience prefered, but learning essential.
• Big Data: Experience with Big Data methodology and technologies
• Programming : Python or Java worked with Data (ETL)
• DevOps: Understand how to work in a Dev Ops and agile way / Versioning / Automation / Defect
Management – Mandatory
• Agile methodology - knowledge of Jira
- 5+ years of experience in software development.
- At least 2 years of relevant work experience on large scale Data applications
- Good attitude, strong problem-solving abilities, 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 Hadoop ecosystem (HDFS, Hive, Yarn, File formats like Avro/Parquet)
- Kafka
- J2EE Frameworks (Spring/Hibernate/REST)
- Spark Streaming or any other streaming technology.
- Java programming language is mandatory.
- Good to have experience with Java
- 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 counterparts (in US) of the project.
- Keep all the stakeholders updated about the project/task status/risks/issues if there are any.
ETL Developer – Talend
Job Duties:
- ETL Developer is responsible for Design and Development of ETL Jobs which follow standards,
best practices and are maintainable, modular and reusable.
- Proficiency with Talend or Pentaho Data Integration / Kettle.
- ETL Developer will analyze and review complex object and data models and the metadata
repository in order to structure the processes and data for better management and efficient
access.
- Working on multiple projects, and delegating work to Junior Analysts to deliver projects on time.
- Training and mentoring Junior Analysts and building their proficiency in the ETL process.
- Preparing mapping document to extract, transform, and load data ensuring compatibility with
all tables and requirement specifications.
- Experience in ETL system design and development with Talend / Pentaho PDI is essential.
- Create quality rules in Talend.
- Tune Talend / Pentaho jobs for performance optimization.
- Write relational(sql) and multidimensional(mdx) database queries.
- Functional Knowledge of Talend Administration Center/ Pentaho data integrator, Job Servers &
Load balancing setup, and all its administrative functions.
- Develop, maintain, and enhance unit test suites to verify the accuracy of ETL processes,
dimensional data, OLAP cubes and various forms of BI content including reports, dashboards,
and analytical models.
- Exposure in Map Reduce components of Talend / Pentaho PDI.
- Comprehensive understanding and working knowledge in Data Warehouse loading, tuning, and
maintenance.
- Working knowledge of relational database theory and dimensional database models.
- Creating and deploying Talend / Pentaho custom components is an add-on advantage.
- Nice to have java knowledge.
Skills and Qualification:
- BE, B.Tech / MS Degree in Computer Science, Engineering or a related subject.
- Having an experience of 3+ years.
- Proficiency with Talend or Pentaho Data Integration / Kettle.
- Ability to work independently.
- Ability to handle a team.
- Good written and oral communication skills.