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We are looking for computer science/engineering final year students/ fresh graduates that have solid understanding of computer science fundamentals (algorithms, data structures, object oriented programming) and strong java. programming skills. You will get to work on machine learning algorithms as applied to online advertising or do data analytics. You will learn how to collaborate in small, agile teams, do rapid development, testing and get to taste the invigorating feel of a start-up company.
Experience
None required
Required Skills
-Solid foundation in computer science, with strong competencies in data structures, algorithms, and software design
-Java / Python programming
-UI/UX HTML5 CSS3, Javascript
-MYSQL, Relational Databases
-MVC Framework, ReactJS
Optional Skills
-Familiarity with online advertising, web technologies
-Familiarity with Hadoop, Spark, Scala
Education
UG - B.Tech/B.E. - Computers; PG - M.Tech - Computers
- Working knowledge of setting up and running HD insight applications
- Hands on experience in Spark, Scala & Hive
- Hands on experience in ADF – Azure Data Factory
- Hands on experience in Big Data & Hadoop ECO Systems
- Exposure to Azure Service categories like PaaS components and IaaS subscriptions
- Ability to Design, Develop ingestion & processing frame work for ETL applications
- Hands on experience in powershell scripting, deployment on Azure
- Experience in performance tuning and memory configuration
- Should be adaptable to learn & work on new technologies
- Should have Communication Good written and spoken
Senior ETL developer in SAS
We are seeking a skilled and experienced ETL Developer with strong SAS expertise to join
our growing Data Management team in Kolkata. The ideal candidate will be responsible for
designing, developing, implementing, and maintaining ETL processes to extract, transform,
and load data from various source systems into Banking data warehouse and other data
repositories of BFSI. This role requires a strong understanding of Banking data warehousing
concepts, ETL methodologies, and proficiency in SAS programming for data manipulation
and analysis.
Responsibilities:
• Design, develop, and implement ETL solutions using industry best practices and
tools, with a strong focus on SAS.
• Develop and maintain SAS programs for data extraction, transformation, and loading.
• Work with source system owners and data analysts to understand data requirements
and translate them into ETL specifications.
• Build and maintain data pipelines for Banking database to ensure data quality,
integrity, and consistency.
• Perform data profiling, data cleansing, and data validation to ensure accuracy and
reliability of data.
• Troubleshoot and resolve Bank’s ETL-related issues, including data quality problems
and performance bottlenecks.
• Optimize ETL processes for performance and scalability.
• Document ETL processes, data flows, and technical specifications.
• Collaborate with other team members, including data architects, data analysts, and
business users.
• Stay up-to-date with the latest SAS related ETL technologies and best practices,
particularly within the banking and financial services domain.
• Ensure compliance with data governance policies and security standards.
Qualifications:
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as an ETL Developer, preferably within the banking or financial
services industry.
• Strong proficiency in SAS programming for data manipulation and ETL processes.
• Experience with other ETL tools (e.g., Informatica PowerCenter, DataStage, Talend)
is a plus.
• Solid understanding of data warehousing concepts, including dimensional modeling
(star schema, snowflake schema).
• Experience working with relational databases (e.g., Oracle, SQL Server) and SQL.
• Familiarity with data quality principles and practices.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Understanding of regulatory requirements in the banking sector (e.g., RBI guidelines)
is an advantage.
Preferred Skills:
• Experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Azure
Synapse, Google BigQuery).
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Experience with agile development methodologies.
• Relevant certifications (e.g., SAS Certified Professional).
What We Offer:
• Competitive salary and benefits package.
• Opportunity to work with cutting-edge technologies in a dynamic environment.
• Exposure to the banking and financial services domain.
• Professional development and growth opportunities.
• A collaborative and supportive work culture.
Experience:
Should have a minimum of 10-12 years of Experience.
Should have experience on Product Development/Maintenance/Production Support experience in a support organization
Should have a good understanding of services business for fortune 1000 from the operations point of view
Ability to read, understand and communicate complex technical information
Ability to express ideas in an organized, articulate and concise manner
Ability to face stressful situation with positive attitude
Any certification in regards to support services will be an added advantage
Education: BE, B- Tech (CS), MCA
Location: India
Primary Skills:
Hands on experience with OpenStack framework. Ability to set up private cloud using OpenStack environment. Awareness to various OpenStack services and modules
Strong experience with OpenStack services like Neutron, Cinder, Keystone, etc.
Proficiency in programming languages such as Python, Ruby, or Go.
Strong knowledge of Linux systems administration and networking.
Familiarity with virtualization technologies like KVM or VMware.
Experience with configuration management and IaC tools like Ansible, Terraform.
Subject matter expertise in OpenStack security
Solid experience with Linux and shell scripting
Sound knowledge of cloud computing concepts & technologies, such as docker, Kubernetes, AWS, GCP, Azure etc.
Ability to configure OpenStack environment for optimum resources
Good knowledge of security, operations in open stack environment
Strong knowledge of Linux internals, networking, storage, security
Strong knowledge of VMware Enterprise products (ESX, vCenter)
Hands on experience with HEAT orchestration
Experience with CI/CD, monitoring, operational aspects
Strong experience working with Rest API's, JSON
Exposure to Big data technologies ( Messaging queues, Hadoop/MPP, NoSQL databases)
Hands on experience with open source monitoring tools like Grafana/Prometheus/Nagios/Ganglia/Zabbix etc.
Strong verbal and written communication skills are mandatory
Excellent analytical and problem solving skills are mandatory
Role & Responsibilities
Advise customers and colleagues on cloud and virtualization topics
Work with the architecture team on cloud design projects using openstack
Collaborate with product, customer success, and presales on customer projects
Participate in onsite assessments and workshops when requested
Provide subject matter expertise and mentor colleagues
Set up open stack environments for projects
Design, deploy, and maintain OpenStack infrastructure.
Collaborate with cross-functional chapters to integrate OpenStack with other services (k8s, DBaaS)
Develop automation scripts and tools to streamline OpenStack operations.
Troubleshoot and resolve issues related to OpenStack services.
Monitor and optimize the performance and scalability of OpenStack components.
Stay updated with the latest OpenStack releases and contribute to the OpenStack community.
Work closely with Architects and Product Management to understand requirement
should be capable of working independently & responsible for end-to-end implementation
Should work with complete ownership and handle all issues without missing SLA's
Work closely with engineering team and support team
Should be able to debug the issues and report appropriately in the ticketing system
Contribute to improve the efficiency of the assignment by quality improvements & innovative suggestions
Should be able to debug/create scripts for automation
Should be able to configure monitoring utilities & set up alerts
Should be hands on in setting up OS, applications, databases and have passion to learn new technologies
Should be able to scan logs, errors, exception and get to the root cause of the issue
Contribute in developing a knowledge base on collaboration with other team members
Maintain customer loyalty through Integrity and accountability
Groom and mentor team members on project technologies and work
Responsibilities:
- Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
- Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
- Become an expert on data and trends, both internal and external to Kaleidofin.
- Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
- Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
- Automate scheduling and distribution of reports and support auditing and value realization.
- Partner with enterprise architects to define and ensure proposed.
- Business Intelligence solutions adhere to an enterprise reference architecture.
- Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks.
- Experience leading development efforts through all phases of SDLC.
- 2+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
- Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
- Hands on experience in SQL, data management, and scripting (preferably Python).
- Strong data visualisation design skills, data modeling and inference skills.
- Hands-on and experience in managing small teams.
- Financial services experience preferred, but not mandatory.
- Strong knowledge of architectural principles, tools, frameworks, and best practices.
- Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
- Preferred candidates with less than 30 days notice period.
- Identifying valuable data sources and automate collection processes
- Undertaking preprocessing of structured and unstructured data
- Analyzing large amounts of information to discover trends and patterns
- Building predictive models and machine-learning algorithms
- Combining models through ensemble modeling
- Presenting information using data visualization techniques
- Proposing solutions and strategies to business challenges
- Collaborating with engineering and product development teams
What you need to have:
- Data Scientist with min 3 years of experience in Analytics or Data Science preferably in Pricing or Polymer Market
- Experience using scripting languages like Python(preferred) or R is a must.
- Experience with SQL, Tableau is good to have
- Strong numerical, problem solving and analytical aptitude
- Being able to make data based decisions
- Ability to present/communicate analytics driven insights.
- Critical and Analytical thinking skills
ears of Exp: 3-6+ Years
Skills: Scala, Python, Hive, Airflow, SparkLanguages: Java, Python, Shell Scripting
GCP: BigTable, DataProc, BigQuery, GCS, Pubsub
OR
AWS: Athena, Glue, EMR, S3, RedshiftMongoDB, MySQL, Kafka
Platforms: Cloudera / Hortonworks
AdTech domain experience is a plus.
Job Type - Full Time








