Site Reliability Engineer - Devops

Job Description:

As an Azure Data Engineer, your role will involve designing, developing, and maintaining data solutions on the Azure platform. You will be responsible for building and optimizing data pipelines, ensuring data quality and reliability, and implementing data processing and transformation logic. Your expertise in Azure Databricks, Python, SQL, Azure Data Factory (ADF), PySpark, and Scala will be essential for performing the following key responsibilities:

Designing and developing data pipelines: You will design and implement scalable and efficient data pipelines using Azure Databricks, PySpark, and Scala. This includes data ingestion, data transformation, and data loading processes.

Data modeling and database design: You will design and implement data models to support efficient data storage, retrieval, and analysis. This may involve working with relational databases, data lakes, or other storage solutions on the Azure platform.

Data integration and orchestration: You will leverage Azure Data Factory (ADF) to orchestrate data integration workflows and manage data movement across various data sources and targets. This includes scheduling and monitoring data pipelines.

Data quality and governance: You will implement data quality checks, validation rules, and data governance processes to ensure data accuracy, consistency, and compliance with relevant regulations and standards.

Performance optimization: You will optimize data pipelines and queries to improve overall system performance and reduce processing time. This may involve tuning SQL queries, optimizing data transformation logic, and leveraging caching techniques.

Monitoring and troubleshooting: You will monitor data pipelines, identify performance bottlenecks, and troubleshoot issues related to data ingestion, processing, and transformation. You will work closely with cross-functional teams to resolve data-related problems.

Documentation and collaboration: You will document data pipelines, data flows, and data transformation processes. You will collaborate with data scientists, analysts, and other stakeholders to understand their data requirements and provide data engineering support.

Skills and Qualifications:

Strong experience with Azure Databricks, Python, SQL, ADF, PySpark, and Scala.

Proficiency in designing and developing data pipelines and ETL processes.

Solid understanding of data modeling concepts and database design principles.

Familiarity with data integration and orchestration using Azure Data Factory.

Knowledge of data quality management and data governance practices.

Experience with performance tuning and optimization of data pipelines.

Strong problem-solving and troubleshooting skills related to data engineering.

Excellent collaboration and communication skills to work effectively in cross-functional teams.

Understanding of cloud computing principles and experience with Azure services.

LogiNext is looking for a dynamic and competent Enterprise Business Development Manager to work directly with the leadership team at LogiNext and at some of the largest global organizations to help them understand LogiNext technology and sign them up under commercial contracts. You will be a key face to represent LogiNext and build strong and long lasting relationships from the scratch. LogiNext has a stellar line up of large enterprises and you will be expected to contribute for upselling and cross-selling to the existing clients as well. Proven track record of consultative enterprise sales, continuous relationship building with C-level executives, exposure to large scale cloud/SaaS based software deployments and ability to work in agile/multi-tasking work environments will lead you to remarkable growth and leadership opportunities at LogiNext.

Responsibilities:

• Drive end to end sales cycles including lead generation, lead qualification, sales presentations, technology demonstrations, account based marketing, running simulations and evaluations on client site, commercial proposal submissions, contract negotiations, revenue generation and account receivables
• Develop a trusted advisory relationship with client stakeholders, executive sponsors and
• Proactively assess, clarify, and validate client needs on an ongoing basis and convert client needs into enterprise contracts to meet sales quota/target
• Work cross-functionally with business development, marketing, technology and finance team to ensure the timely and successful delivery of the solutions according to client needs and objectives
• Analyze latest marketing trends using CRM and analytics tools and tracking competitors activities and providing valuable inputs for fine-tuning marketing strategies
• Go extra mile to make it a great experience for the client and build a great organization at LogiNext with a “get-things-done” attitude

Requirements:

• Bachelors degree or higher in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Commerce, Engineering, Business Management, Marketing or related field from top-tier school
• 4 - 7 years of experience in enterprise or business development in a technology company
• Flexibility and willingness to travel 80% of the times to provide client service to a large number of client accounts across multiple geographies with passion, strong initiatives and positive attitude
• Advanced skill-set for driving system integrations, gathering requirements, writing SOWs, documenting RFI/RFPs, submitting commercial proposals and cross-functional project management
• Expertise to work on executive presentations, advanced CRM and other sales & marketing focused automation tools is a plus
• Excellent written and verbal communication skills and ability to persuade, influence, negotiate and make formal presentations in meetings and training environments
• Confident and dynamic working persona, which can bring fun to the team, and sense of humor, is a plus
• Strong organizational skills, judgment and decision-making skills, and ability to work with quota/target based sales

Job Description

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, 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

• You're proficient in AI/Machine learning latest technologies  
• You're proficient in GPT-3 based algorithms 
• You have a passion for writing code as well as understanding and crafting the ways systems interact
• You believe in the benefits of agile processes and shipping code often
• You are pragmatic and work to coalesce requirements into reasonable solutions that provide value

• Deploy well-tested, maintainable and scalable software solutions
• Take end-to-end ownership of the technology stack and product 
• Collaborate with other engineers to architect scalable technical solutions
• Embrace and improve our standards and processes to reduce friction and unlock efficiency

About the company:

CogniTensor is an analytical software company that brings data to the heart of decision-making. CogniTensor leverages its product, DeepOptics - an integrated platform  to implement 3A (Automation, Analytics and AI) at scale. 

Cognitensor has customers ranging in Finance, Energy, Commodity, Retail & Manufacturing. More details can be found on our website: https://www.cognitensor.com/">https://www.cognitensor.com/

Our strategic investors include Shell and CIIE.CO (IIM-A/Accenture).

Qualification & Experience:

• BE/B.Tech Degree in Computer Programming, Computer Science, or a related field.

• +2 years experience as a Software Developer.

• Hands on experience in developing finance applications is must

Roles & Responsibilities:

We are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment. 

As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility. Along with familiar with Agile methodologies and testing skills

• Work with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Write technical documentation
• Excellent communication and teamwork skills

Technical Skills:

Must Have

• React JS
• Git / Bitbucket, 
• Express JS, Python, HTML, CSS, Node JS
• CI/CD like CircleCI
• Postgres or any DB knowledge
• Familiarity with AWS  or Azure or both 

Good to Have

• Docker
• Redux
• Android development
• React Native
• Electron
• GraphQL
• Jira

What’s in for you:

• An opportunity to lead a business segment
• Extensive liaising with customers and partners
• A rewarding career progression

Preferred Location:

Delhi NCR

Responsibilities

• Writing scalable, robust,, testable, efficient, and easily maintainable code
• Translating software requirements into stable, working, high performance software
• Playing a key role in architectural and design decisions, building toward an efficient micro services distributed architecture

Skills

• Strong knowledge of Goprogramming language, paradigms, constructs, and idioms
• Knowledge of Goroutine and channel patterns
• Experience with the full suite of Goframeworks and tools, including:
• Dependency management tools such as Godep, Sltr, etc.
• Go’s templating language
• Go’s code generation tools, such as Stringer
• Popular Goweb frameworks, such as Revel,Gin
• Router packages, such as Gorilla Mux
• Ability to write clean and effective Godoc comments
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial)
• Good Written and Verbal communications.

Love working with influencers and using social media?

We are seeking a digitally savvy, experienced marketing mind to develop and execute our influencer marketing strategies and creative social media campaigns.

The intern is responsible for planning social media calendars, collaborating with in-house designers to create social media posts, assisting the social media team with brainstorming campaigns, monitoring and posting on blogs and social networks, engaging in online forums, participating in online outreach and promotion, optimizing our website, and conducting keyword analysis. Those looking to gain valuable online media experience with an established organization are encouraged to apply.

Interest and passion for Health, Wellness & Fitness industry is a must!

We are looking for an android developer to enhance design, fix bugs, improve performance and develop new features of a functional Android application

Responsibilities & Skills

An ideal candidate:

Should have 3+ years of professional experience in autonomously designing, developing, testing, debugging and maintaining mobile applications on the Android platform

Should have hands-on experience with Android SDK and Android Frameworks

Should have expertise in building REST API in PHP with MySQL database, and seamlessly integrating it with backend services, third party APIs and Android application

Should be well conversant with Android UI design principles

Should fix bugs and improve Android application performance

Should develop new features of the Android application

Should assume end-to-end ownership of the Android application and assigned tasks

Should work independently without the need of guidance and supervision

Education