Sales Manager

Data Engineer 

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 

Overview

Adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.

Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.

Job Description

We are looking for an experienced Backend and Data Developer with expertise in Java, SQL, BigQuery development working on public clouds, mainly GCP. As a Senior Data Developer, you will play a vital role in designing, building, and maintaining robust systems to support our data analytics. This position offers the opportunity to work on complex services, collaborating closely with cross-functional teams to drive successful project delivery.

Responsibilities:

Development and maintenance of data pipelines and automation scripts with Python.

Creation of data queries and optimization of database processes with SQL.

Use of bash scripts for system administration, automation and deployment processes.

Database and cloud technologies.

Managing, optimizing and querying large amounts of data in an Exasol database (prospectively Snowflake).

Google Cloud Platform (GCP): Operation and scaling of cloud-based BI solutions, in particular.

Composer (Airflow): Orchestration of data pipelines for ETL processes.

Cloud Functions: Development of serverless functions for data processing and automation.

Cloud Scheduler: Planning and automation of recurring cloud jobs.

Cloud Secret Manager: Secure storage and management of sensitive access data and API keys.

BigQuery: Processing, analyzing and querying large amounts of data in the cloud.

Cloud Storage: Storage and management of structured and unstructured data.

Cloud monitoring: monitoring the performance and stability of cloud-based applications.

Data visualization and reporting.

Creation of interactive dashboards and reports for the analysis and visualization of business data with Power BI.

Requirements:

Minimum of 4-6 years of experience in backend development, with strong expertise in BigQuery, Python and MongoDB or SQL.

Strong knowledge of database design, querying, and optimization with SQL and MongoDB and designing ETL and orchestration of data pipelines.

Expierience of minimum of 2 years with at least one hyperscaler, in best case GCP.

Combined with cloud storage technologies, cloud monitoring and cloud secret management

Excellent communication skills to effectively collaborate with team members and stakeholders.

Nice-to-Have:

Knowledge of agile methodologies and working in cross-functional, collaborative teams.

Skills & Requirements

SQL, BigQuery, GCP, Python, MongoDB, Exasol, Snowflake, Bash scripting, Airflow, Cloud Functions, Cloud Scheduler, Cloud Secret Manager, Cloud Storage, Cloud Monitoring, ETL, Data Pipelines, Power BI, Database Optimization, Cloud-Based BI Solutions, Data Processing, Data Automation, Agile Methodologies, Cross-Functional Collaboration.

About us:
At Priori Capital, we are building The financial SaaS for the Businesses operating with digital assets by empowering the teams to operate in an  effective, efficient and error-free manner by bringing all things finance on one platform. We aim to solve digital asset management for institutions offering cryptographic security, user management setup and secure access to the blockchain ecosystem.

We’re looking for someone passionate about driving innovation and solving exciting problems.

What are you joining: 

We are currently in a fast-paced growth environment where the only constant is evolution!

Our team includes individuals with experience in internationally known blockchain and fintech companies like Polygon (Matic), udaanCapital, Iris, Infosys, Cognizant etc.

We are a part of the Kira community and backed by a Polygon Co-founder as an investor and mentor.

What will you do:

• Design to simplify the complexity - Work with our designers to simplify the systems that are working across chains, protocols or existing financial systems.
• Build for the future of finance - Build, deploy and come back to the whiteboard with the core team to innovate, ideate and scale solutions.
• Own your ship - Be responsible to build framework components, own the development process and drive the development cycle to improve transparency and productivity across the team.

What are we looking for:

• 2+ years of experience in Frontend Engineering building scalable web applications: Experience in web3/fintech is not a mandate to apply. You learn as you go!
• You should be good at your game: Detailed oriented and have a thorough knowledge of JavaScript, HTML5 and CSS3 & hands-on experience with either of VueJS, Angular, React OR similar.
• You have a strong bias for action: You seek problems. If you see one, you find the solution. If you have one, you should be already building it. If it fails, you move to the next!
• You want to grow but together: You want to learn and master new skills by tackling new problems with the team

We are more excited if you have this:

• Knowledge of Git, GraphQL, Flux, Webpack, etc.
• Good at analytical problem solving, know-how of core computer science and algorithms.
• Interested in blockchain or finance.
• Experience in Fintech or Web3 Applications

• Learn from the best!
• Work from wherever
• Self-managed leave policy
• Focus on Work-life Balance
• Learning Budget to hone a skill or learn new ones
• Be a part of the fast-growing environment
• Competitive Salary

Looking for immediate joiners in Business development field sales for Hyderabad region.

Experience in Saas industry is added as extra advantage.

You will:

• Write excellent production code and tests and help others improve in code-reviews
• Analyze high-level requirements to design, document, estimate, and build systems
• Coordinate across teams to identify, resolve, mitigate and prevent technical issues
• Coach and mentor engineers within the team to develop their skills and abilities
• Continuously improve the team's practices in code-quality, reliability, performance, testing, automation, logging, monitoring, alerting, and build processes

You have:

For (Fullstack):

• 2 - 10 Years of experience
• Strong with DS & Algorithms
• Hands on Experience in the Programming languages: JavaScript (React or Angular), Python, SQL.
• Experience with AWS.

For (Geo Team):

• 4 - 10 years of experience
• Experience with Big Data technologies like Hadoop, Spark, Map Reduce, Kafka, etc
• Experience using object-oriented languages (Java, Python)
• Experience in working with different AWS technologies.
• Experience in software design, architecture and development.
• Excellent competencies in data structures & algorithms.

For (Backend):

• 2 - 10 years of experience
• Hands on product development experience using Java/ C++/Python
• Experience with AWS,SQL,GIT
• Strong with Data structures and Algorithms

Additional nice to have skills/certifications:

For Java skill set:

Mockito, Grizzly, Netty, VertX, Jersey / JAX-RS, Swagger / Open API, Nginx, Protocol Buffers, Thrift, Aerospike, Redis, Kinesis, Sed, Awk, Perl

For Python skill set: Data Engineering experience, Athena, Lambda, EMR, Spark, Glue, Step Functions, Hadoop, Kinesis, Orc, Parquet, Perl, Awk, Redshift

For (Data Engineering):

• 2 - 10 years of experience
• Experience with object-oriented/object function scripting languages: Python.
• Experience with AWS cloud services: EC2, RDS, Redshift,S3,Athena, Glue
• Must be proficient in GIT, Jenkins, CICD (Continuous Integration Continuous Deployment)
• Experience in big data technologies like Hadoop, Map Reduce, Spark, etc
• Experience with Amazon Web Services and Dockers