Data Engineer

Responsibilities: 

• Improve robustness of Leena AI current NLP stack 
• Increase zero shot learning capability of Leena AI current NLP stack 
• Opportunity to add/build new NLP architectures based on requirements 
• Manage End to End lifecycle of the data in the system till it achieves more than 90% accuracy 
• Manage a NLP team 

Page BreakRequirements: 

• Strong understanding of linear algebra, optimisation, probability, statistics 
• Experience in the data science methodology from exploratory data analysis, feature engineering, model selection, deployment of the model at scale and model evaluation 
• Experience in deploying NLP architectures in production 
• Understanding of latest NLP architectures like transformers is good to have 
• Experience in adversarial attacks/robustness of DNN is good to have 
• Experience with Python Web Framework (Django), Analytics and Machine Learning frameworks like Tensorflow/Keras/Pytorch. 

Role - Data Engineer

Skillsets-Azure, Olap, Etl, sql, python, c#

exp range - 3+ to 4 years

salary-best in industry

notice period - Currently serving notice period (Immediate joiners are preferred)

location- remote work

job type -permanent role

it is full time and totally remote based


Note: For the interview 3 rounds are there -technical round, manager/client round, hr round

Technology Skills (Good to Have):

Technology Skills (Good to Have):

Job Responsibilities

• In this role, you will work closely with business leaders, subject matter experts to design/define, measure, and track suitable metrics for efficiency and effectiveness of business.
• Influence product roadmap for website and mobile through high quality digital analytical insights and recommendations.
• Drive customer conversions and increase customer delight via system interventions designed based on data driven insights.
• You will be responsible for modeling complex problems and processes using various analytical tools and methods.
• Effectively carry out the translation of business requirements into functional specifications to satisfy the business needs and necessary system modifications.
• Compile and analyse data related to business' issues.
• Develop clear visualizations to convey complicated data in a straightforward fashion

Job Specification:

• Excellent analytical abilities: Data driven and understanding of key analytical techniques • Hands on: Web and app analytics tools (GA, apps flyer, Clever tap etc), Excel, SQL.
• Experience of quantifying impact of product features for sales conversion improvement, A/B testing, attribution modeling, campaign analysis etc.
• Champion of user behaviour understanding on digital platforms (website, mobile applications etc.)
• Effectively analyse and monitor the services, market trends, and customer requirements.
• Effectively undertake the requirement elicitation, document and analysis, solution design, testing definition and execution.
• Knowledge about the different functionalities and features of the main web browsers
• Ability to write clear reports and maintain the important records.
• Effective organizational and management skills.
• Expert in time management and the ability for achieving the given tasks within the allocated time frame .
• Atleast 3 to 6 years of experience with a growing e-commerce company or with analytics will be very important .
• Capable of taking initiatives for process betterments and flow improvements.

Senior Data Engineer (SDE)

(Hadoop, HDFS, Kafka, Spark, Hive)

Overall Experience - 8 to 12 years

Relevant exp on Big data - 3+ years in above

Salary: Max up-to 20LPA 

Job location - Chennai / Bangalore / 

Notice Period - Immediate joiner / 15-to-20-day Max 

The Responsibilities of The Senior Data Engineer Are:

- Requirements gathering and assessment

- Breakdown complexity and translate requirements to specification artifacts and story boards to build towards, using a test-driven approach

- Engineer scalable data pipelines using big data technologies including but not limited to Hadoop, HDFS, Kafka, HBase, Elastic

- Implement the pipelines using execution frameworks including but not limited to MapReduce, Spark, Hive, using Java/Scala/Python for application design.

- Mentoring juniors in a dynamic team setting

- Manage stakeholders with proactive communication upholding TheDataTeam's brand and values

A Candidate Must Have the Following Skills:

- Strong problem-solving ability

- Excellent software design and implementation ability

- Exposure and commitment to agile methodologies

- Detail oriented with willingness to proactively own software tasks as well as management tasks, and see them to completion with minimal guidance

- Minimum 8 years of experience

- Should have experience in full life-cycle of one big data application

- Strong understanding of various storage formats (ORC/Parquet/Avro)

- Should have hands on experience in one of the Hadoop distributions (Hortoworks/Cloudera/MapR)

- Experience in at least one cloud environment (GCP/AWS/Azure)

- Should be well versed with at least one database (MySQL/Oracle/MongoDB/Postgres)

- Bachelor's in Computer Science, and preferably, a Masters as well - Should have good code review and debugging skills

Additional skills (Good to have):

- Experience in Containerization (docker/Heroku)

- Exposure to microservices

- Exposure to DevOps practices - Experience in Performance tuning of big data applications

Role: Data Analytics Lead / Manager

1. Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
2. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
3. Coordinate with different teams to determine requirements for data warehousing, reporting and analytical solutions, and ensure customer satisfaction on deliverables
4. Oversee analytics projects to extract, manage, and analyse data from multiple applications, ensuring that deadlines are met.
5. Apply statistics and data modelling to gain actionable business insights and boost customer productivity and revenue.
6. Enforce company policies and procedures to ensure quality and prevent discrepancies.
7. Communicate and track key performance metrics across departments.
8. Keep abreast of industry best practices and policies.
9. Research Latest trends, analyse data, identify opportunities and incorporate changes into business strategies.
10. Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.
11. Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
12. Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
13. Develop and implement MLDevOps, quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
14. Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
15. Organize and drive successful completion of data insight initiatives through effective management of data analyst and effective collaboration with stakeholders.

Essential Skills

1. Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
2. Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
3. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
4. Experience and knowledge of statistical modelling techniques: multiple regression, logistic regression, log-linear regression, variable selection, etc.

 We’re looking for someone with at least 10+ years of experience in a position monitoring, managing, transforming and drawing insights from data, and someone with at least 5 years of experience leading a data analyst team.

Experience in Azure is preferred

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.