Big Data Engineer- SCALA at Cogent IBS · Hyderabad · 5 - 8 years · Profitable · Posted 27 Jul 2023

Big Data Engineer- SCALA
Required Skills:
1. Experience in building modern and scalable REST – based microservices using Scala, preferably with Play as MVC framework.
2. Expertise with functional programming using SCALA
3. Experience in implementing RESTful web services in Scala, Java or similar languages.
4. Experience with No SQL and SQL databases.
5. Experience in information retrieval and machine learning
6. Experience/ knowledge in big data using Scala spark, ML, Kafka, and Elastic search will be plus.

About Cogent IBS
About
Similar jobs (10)
We are hiring for a Data Engineer & Java scala for a full-time opportunity in Bangalore.
Experience: 4–10 Years
Must-Have Skills:
Java / Scala / Python, Data Engineering, Databricks / Snowflake, and Cloud (AWS / Azure / GCP).
We are looking for strong software engineers with hands-on experience in data platform development, scalable backend programming, data integration, and cloud technologies.
Experience in Banking, Capital Markets, Market Risk, or Regulatory Reporting will be an added advantage.
4 - 10 years of experience in designing and buildingarchitecting highly resilient data platforms
∙Strong knowledge of data engineering, architecture and data modeling
∙Experience in platforms like Databricks and Snowflake
∙Experience on building applications on cloud (AWS or Azure or Google Cloud)
∙Strong analytical and problem-solving skills
∙Prior experience in developing data or computation intensive (e.g. grid based) backend applications is an
advantage
∙OOP design skills with an understanding or at least personal interest towards the concepts of Functional
Programming
∙Willingness to understand and enhance other people’s code, being able to work in an environment where
developers will oversee and work on wider components also dealing with older “legacy” code
∙Strong programming skills (Java/ Scala / Python) skills with the willingness to pick up the other language if not
already mastered at a sufficient level is important
∙Spring knowledge is an advantage, but in general willingness to learn, work with and even enhance in-house
developed frameworks is a must
∙Prior experience in working with Git, Bitbucket, Jenkins, working with PR-s, using JIRA, following the Scrum Agile
methodology is an advantage
∙Prior knowledge of financial products is an advantage
∙Bachelors or Masters in any relevant field of IT/Engineering area is an advantage
We are hiring experienced Data Engineers for a permanent opportunity in Bangalore.
Job Description
Role: Data Engineer
Location: Bangalore
Experience: 6+ Years
Key Responsibilities:
- Design, develop, and maintain scalable data processing pipelines using Amazon EMR.
- Develop data engineering solutions using Python and Scala.
- Process and transform large volumes of structured and unstructured data.
- Build and optimize distributed data processing workflows for performance and scalability.
- Work with big data technologies and cloud-based data processing environments.
- Perform data integration, validation, transformation, and quality checks.
- Troubleshoot data pipeline issues and optimize processing performance.
- Collaborate with data architects, analysts, and development teams to deliver reliable data solutions.
Required Skills:
- Strong hands-on experience with Amazon EMR.
- Proficiency in Python and Scala.
- Experience in big data processing and data pipeline development.
- Good understanding of distributed computing and data transformation techniques.
- Experience in performance tuning and troubleshooting data processing jobs.
- Strong analytical, problem-solving, and communication skills.
🚨 HIRING | Data Engineer – Amazon EMR 🔥
We are looking for experienced Data Engineers with strong hands-on expertise in Amazon EMR, Python, and Scala.
📌 JOB DETAILS:
💼 Experience: 6+ Years
💰 CTC: Up to 30 LPA
📍 Location: Bangalore
🔑 MANDATORY SKILLS:
• Amazon EMR
• Python
• Scala
• Data Engineering
📋 KEY REQUIREMENTS:
• 6+ years of relevant experience in Data Engineering.
• Strong hands-on experience with Amazon EMR.
• Strong programming skills in Python and Scala.
• Experience with large-scale data processing and data engineering solutions.
• Strong problem-solving and communication skills.
📩 Interested candidates can share their updated resumes:
📧 pavithra.e @vysystems. com
📞 8 9 2 5 8 0 2 4 5 7
🔄 Know someone who would be a good fit? Tag them or share this post!
#Hiring #DataEngineer #DataEngineering #AmazonEMR #Python #Scala #AWSJobs #BangaloreJobs #ITJobs #TechHiring #HiringNow
SENIOR DATA ENGINEER – DATABRICKS & SNOWFLAKE
Experience: 7+ Years
Location: Remote
Employment Type: Full-Time
Budget: Up to ₹30 LPA
Time Zone: US Eastern Time (ET)
Shift: US ET Night Shift
Job Description
We are looking for an experienced Senior Data Engineer with strong expertise in Databricks, Snowflake, Apache Spark, and AWS to design, develop, and maintain scalable data engineering solutions.
The candidate will work on integrating data from multiple sources, building modern data pipelines, developing enterprise data models, and preparing data platforms for AI/ML applications.
Experience in healthcare, scientific data, or the histopathology domain will be an added advantage.
Key Responsibilities
- Design, build, and maintain scalable data pipelines to acquire, integrate, and manage data from diverse sources such as laboratory systems, MES, clinical supply, quality systems, and external partners.
- Develop and optimize data workflows for structured and unstructured data using Python, PySpark, R, SQL, Databricks, and Snowflake.
- Design and maintain enterprise-level data models and data repositories.
- Perform ETL development, data warehousing, database design, and data integration.
- Ensure data quality, versioning, traceability, and consistency to support AI/ML readiness.
- Collaborate with stakeholders and technical teams to translate business requirements into technical solutions.
- Manage multiple projects while ensuring scalability, performance, and reliability.
Required Skills
- 7+ years of experience in Data Engineering.
- Strong hands-on experience with Databricks and Snowflake.
- Excellent knowledge of Apache Spark / PySpark.
- Strong experience with AWS cloud services and AWS RDS.
- Experience with Oracle and Microsoft SQL Server (MSSQL).
- Proficiency in Python, R, and SQL.
- Strong understanding of ETL, Data Warehousing (DWH), data modeling, and database design.
- Experience with dbt and cloud-based data architectures.
- Knowledge of NoSQL and graph databases.
- Strong analytical, problem-solving, and stakeholder-management skills.
- Good English communication skills (B2 level or above).
- Willingness to work in the US Eastern Time (ET) night shift.
Preferred / Good to Have
- Experience in histopathology, healthcare, life sciences, or scientific data environments.
- Knowledge of CDISC, HL7, FHIR, OMOP, DICOM, or other regulated data standards.
- Experience handling high-dimensional data, including imaging and sensor data.
- Familiarity with MLOps and machine learning model deployment workflows.
- Knowledge of Manufacturing Execution Systems (MES) and Laboratory Information Management Systems (LIMS).
- Exposure to knowledge graphs and ontology-driven architectures.
Education
Bachelor's degree in Engineering, Data Science, Life Sciences, Computer Science, or a related field. A master's degree is preferred.
Interested candidates can apply with their updated resumes.
Join our product development team at Planview as a Senior Software Engineer I and become a pivotal force on the Viz Core Team. This role offers the unique opportunity to shape and lead the development of data-processing pipelines and APIs that are at the heart of our software solutions. These solutions are designed to streamline and enhance the efficiency of software delivery, resonating deeply with software engineers who strive to build better and faster.
At Planview Viz, which is powered by the innovative “Flow Framework,” you will tackle complex data challenges and develop scalable solutions within an AWS cloud environment. Your efforts will be crucial in revolutionizing how businesses harness and interpret vast amounts of workflow data, transforming it into actionable insights that propel organizational efficiency and effectiveness.
Responsibilities (What you'll do)
- Create and refine powerful data-processing architectures that integrate seamlessly with a diverse array of external tools, enhancing the way software is delivered across industries.
- Drive operational excellence by critically analyzing problems, defining requirements, and devising robust solutions that push the boundaries of technology.
- Lead and inspire a team of talented engineers, promoting a culture of ownership, meticulous attention to quality, and proactive problem-solving.
- Stay at the cutting edge of technology by updating and expanding your team’s knowledge of cloud architectures, data processing, and advanced analytics, ensuring that you and your team remain leaders in technological innovation.
- Make a direct impact on the efficiency and effectiveness of software delivery worldwide through innovation and leadership.
Qualifications (What you'll bring)
Who We’re Looking For
The ideal candidate is a seasoned professional in cloud software development with a strong foundation in data processing and scalable software systems. You thrive in collaborative environments and are passionate about advancing cloud technology and data architecture to new heights. You are a leader who enjoys mentoring, guiding, and inspiring others.
Preferred Qualifications
Skills, Knowledge, and Expertise
- A degree in Computer Science, Engineering, or a related field.
- 6+ years of experience with a modern programming language, with a focus on back-end systems and cloud-based technologies.
- Strong capability in architecting and designing robust, scalable software systems.
- Proficiency in AWS or another popular cloud platform.
Additional Qualifications
- Experience with big-data technologies such as Spark and Apache Kafka.
- Experience with Java (version 17), Scala, or other JVM programming languages.
- Experience with tools such as Amazon Redshift and MongoDB.
- Experience with continuous integration and continuous deployment tools such as GitHub, Jenkins, Travis CI, or similar platforms.
- Proficiency in test-driven development.
- Experience with containers and orchestration tools such as Kubernetes.
- Experience working on remote or distributed teams and projects.
Role: Senior Scala/Pekko Engineer
Experience: 12+ Years
Location: Electronic City, Bangalore
Work Mode: Hybrid
Payroll: Haparz
Budget open for the right candidate
Role Overview
We are looking for a highly experienced Senior Scala/Pekko Engineer to design, develop, and maintain scalable, resilient, cloud-native backend applications. The ideal candidate will have strong expertise in Scala, Pekko or Akka, distributed systems, event-driven architecture, and modern backend engineering practices.
You will contribute to architecture and technical design decisions, build reliable microservices and APIs, and help deliver high-performance systems using AWS, Kafka, Docker, and Kubernetes. The role requires strong engineering ownership, architectural thinking, and the ability to collaborate with product, frontend, and SRE teams.
Key Responsibilities
- Design, develop, and maintain scalable, highly available backend services using Scala and modern functional programming practices.
- Build asynchronous, concurrent, and fault-tolerant applications using Apache Pekko or Akka.
- Develop clean, maintainable, testable code using Scala libraries and functional programming tools such as Cats and Cats Effect.
- Contribute to system architecture, distributed systems design, microservices, API contracts, and technical decision-making.
- Design and implement Event Sourcing, CQRS, Domain-Driven Design (DDD), and event-driven architectures using Kafka.
- Build resilient, high-performance APIs and distributed services with appropriate error handling, recovery, and concurrency controls.
- Develop, deploy, and operate cloud-native applications on AWS using Docker and Kubernetes.
- Work with relational and non-relational databases, ensuring data consistency, performance, and appropriate data modelling.
- Establish and maintain automated testing, code quality standards, observability, logging, metrics, and production reliability.
- Contribute to CI/CD pipelines, deployment automation, and continuous improvement of software delivery practices.
- Collaborate with Product, Front-End, and SRE teams to translate business requirements into reliable technical solutions.
- Participate in code reviews, architecture discussions, technical mentoring, and knowledge-sharing activities.
- Take end-to-end ownership of engineering outcomes, troubleshoot complex production issues, and challenge technical decisions constructively.
Required Technical Experience
- 12+ years of software engineering experience, with strong hands-on expertise in Scala backend development.
- Strong practical experience with Apache Pekko and/or Akka for concurrent, asynchronous, and distributed applications.
- Solid understanding of functional programming, including practical use of Cats and Cats Effect.
- Strong knowledge of distributed systems, microservices, concurrency, fault tolerance, and API design.
- Hands-on experience with Kafka and event-driven architectures.
- Practical knowledge of Event Sourcing, CQRS, and Domain-Driven Design.
- Experience building and operating cloud-native backend services on AWS.
- Hands-on exposure to Docker, Kubernetes, CI/CD, automated testing, and production monitoring.
- Experience with relational and non-relational databases.
- Strong problem-solving, communication, technical ownership, and cross-functional collaboration skills.
Preferred / Additional Experience
- Experience migrating or modernizing Akka-based systems to Apache Pekko, or working with both ecosystems.
- Experience with production-scale distributed systems and high-throughput event processing.
- Experience with Java or Python as complementary backend languages.
- Familiarity with production observability, performance tuning, resilience testing, and incident management.
Key Skills:
Python & System Design: Strong expertise in Python and system design, with proven experience architecting scalable, production-grade systems.
LLM & Agentic AI: Proven experience building LLM-based and agentic systems from the ground up and evaluating them based on reproducibility, calibration, and cost.
Cloud & Data Architecture: Deep understanding of data and cloud architecture across AWS and Azure, including multi-store data design, distributed systems, streaming, security, and cost optimization.
Azure Databricks: Hands-on production experience with Azure Databricks architecture, including Unity Catalog, Delta Lake, cluster policy design, job orchestration, and Terraform provisioning.
Supply Chain & Inventory Management: Strong domain knowledge of supply chain and inventory operations, including demand planning, MRP logic, inventory parameters, and translating business planning decisions into data requirements.
System Architecture & Technical Decision-Making: Ability to make sound architectural decisions based on first principles, evaluate technical trade-offs, and avoid unnecessary complexity and abstraction.
LLM & Agentic AI: Proven experience building LLM-based and agentic systems from the ground up and evaluating them based on reproducibility, calibration, and cost.
Technical Leadership: Ability to influence teams without direct authority, establish technical standards, prepare technical specifications and documentation, and mentor team members.
Experience in pharmaceutical or regulated industries is highly valued.
Java Developer with Scala
4 - 10 Years
26 - 30 lpa
Bangalore
Mandatory Skills
Strong hands-on experience in Java development.
Practical experience with Scala programming.
Strong knowledge of OOP concepts, data structures, and algorithms.
Experience developing REST APIs and microservices.
Knowledge of Spring Boot and related Java frameworks.
Experience with SQL and relational databases.
Understanding of Git, unit testing, debugging, and code review practices.
Good knowledge of software development lifecycle and Agile methodologies.
1st virtual , 2nd round F2F
Python pyspark, SQL, data engineer
5+yrs
9+yrs
Bangalore/Hyderabad
immediate to 15days.










