Fidel Softech Limited
201 - 500 employees
Founded 2004
🤖 Artificial Intelligence
💼 Consulting
🤝 B2B
Artificial Intelligence • Consulting • B2B
Fidel Softech Limited is an India-based, publicly listed IT services and LangTech consulting company that provides AI-driven solutions, custom software development, IT support, and localization services. The company offers AI implementation and integration (including agentic AI, LLM integration, RAG, and AI agents), AI data analytics via its Spoggle platform, conversational/chatbot solutions, and enterprise services such as ERP/CRM/SAP and ServiceNow support. Fidel also delivers LangTech and localization engineering across 200+ languages, bilingual staffing and consulting, Global Capability Center (GCC) setup and support, and managed infrastructure and security services—positioning itself as a B2B partner focused on localized, enterprise-grade AI and technology delivery.
Platform Engineer
Job not on LinkedIn
🕒 January 22
Airflow
Amazon Redshift
AWS
Cassandra
Cloud
Docker
Greenplum
HDFS
Java
Jenkins
Kafka
Kubernetes
MongoDB
Postgres
Python
RDBMS
Scala
Spark
SQL
Tableau
Yarn
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Fidel Softech Limited
201 - 500 employees
Founded 2004
🤖 Artificial Intelligence
💼 Consulting
🤝 B2B
Artificial Intelligence • Consulting • B2B
Fidel Softech Limited is an India-based, publicly listed IT services and LangTech consulting company that provides AI-driven solutions, custom software development, IT support, and localization services. The company offers AI implementation and integration (including agentic AI, LLM integration, RAG, and AI agents), AI data analytics via its Spoggle platform, conversational/chatbot solutions, and enterprise services such as ERP/CRM/SAP and ServiceNow support. Fidel also delivers LangTech and localization engineering across 200+ languages, bilingual staffing and consulting, Global Capability Center (GCC) setup and support, and managed infrastructure and security services—positioning itself as a B2B partner focused on localized, enterprise-grade AI and technology delivery.
📋 Description
• 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. Understand the business logic and implement it using the language supported by the base data platform. • Develop automated data quality check to make sure the right data enters the platform and verify 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. • Act as a key participant in regular Scrum ceremonies with the Agile teams. • Demonstrate proficiency at developing queries, writing reports, and presenting findings. • Mentor junior members and bring best industry practices.
🎯 Requirements
• 5-7+ years’ experience as a data engineer in consumer finance or equivalent industry (e.g. consumer loans, collections, servicing, optional product, insurance sales) • Strong background in math, statistics, computer science, data science, or related discipline • Advanced knowledge of at least one language: Java, Scala, Python, C# • Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake • Proficient with: • o Data mining/programming tools (e.g. SAS, SQL, R, Python) • o Database technologies (e.g. PostgreSQL, Redshift, Snowflake, 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: • o AWS certification • o Spark Streaming • o Kafka Streaming / Kafka Connect • o ELK Stack • o Cassandra / MongoDB • o CI/CD: Jenkins, GitLab, Jira, Confluence other related tools
🏖️ Benefits
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options
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