Scala Lead Engineer Job at Wissen (Bangalore South)

Lead Scala Software Engineer

N-iX is looking for a Lead Scala Engineer to join our team. Our customer is the ...

Location

Ukraine

Salary:

Not provided

N-iX

Expiration Date

Until further notice

Requirements

At least 6+ years of hands-on coding experience
Strong expertise with Scala is a must
Experience with Java and Spring Boot
Experience with Object-Oriented/Functional Programming
Experience in designing fast, scalable, and responsive APIs
Experience developing cloud-native apps using AWS
Experience with SQL and NoSQL (DDB) databases
Experience with Kafka
Good communication skills (fluent English, at least Upper-Intermediate)

Job Responsibility

Developing scalable backend services
Designing complex database solutions
Designing fast, scalable, and responsive APIs
Day-to-day work with AWS
Working in cross-functional teams
Ready to take ownership and independently drive topics

What we offer

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

Senior Lead Data Engineer (Enterprise Platform Technology) (Java, Python, Scala, AWS)

Do you love building and pioneering in the technology space? Do you enjoy solvin...

Location

United States , McLean; New York

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 6 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Senior Data Engineer Lead / Architect - Senior Vice President

At Citi Services - Global Trade Technology Organization, we are on a mission to ...

Location

India , Pune, Maharashtra, India, Chennai, Tamil Nadu, India

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of professional experience in data engineering, with a proven track record of designing and building large-scale data systems
3+ years in a technical leadership or architect role, with experience mentoring junior and senior engineers
Expert-level proficiency in at least one programming language (Python or Scala preferred) and exceptional SQL skills
Proven hands-on experience with Python or Scala for data manipulation, scripting, machine learning, and backend development
Deep, hands-on experience with a major cloud platform (AWS, GCP, or Azure) and its data ecosystem (e.g., S3/GCS, Redshift/BigQuery, EMR/Dataproc, Kinesis/Dataflow)
Extensive hands-on experience with modern big data technologies and Data streaming (like Hadoop, Hive, Impala, Apache Spark, Kafka, or Flink)
Proficiency with workflow orchestration tools such as Airflow, Dagster, or Prefect
Proficiency in designing and implementing microservices architectures, RESTful APIs, and event-driven systems with 'Data as a Product' Principle
Solid understanding of data modeling concepts and database design for both analytical (OLAP) and transactional (OLTP) workloads
Deep understanding and hands-on experience with relational databases (e.g., PostgreSQL, Oracle), NoSQL databases (e.g., MongoDB, Cassandra), data warehousing, and big data technologies (e.g., Spark, Kafka)

Job Responsibility

Architect & Design: Design, architect, and oversee the development of robust, scalable, and reliable data infrastructure, including data lakes, data warehouses, and real-time streaming platforms on the cloud
Build & Code: Act as a senior individual contributor and hands-on technical leader. Write clean, maintainable, and high-performance code for data ingestion, transformation, and serving layers (e.g., using Python, Scala, SQL, and Spark)
Lead & Mentor: Lead a team of data engineers, providing technical guidance, mentorship, and career development support. Foster a collaborative and inclusive team environment
Champion Culture: Define, document, and champion data engineering best practices across the organization, including CI/CD, data quality, testing frameworks, observability, and code review standards
Drive Strategy: Partner with leadership, product managers, data scientists, and analysts to understand data needs and develop a long-term data strategy and roadmap
Innovate & Evaluate: Stay at the forefront of data engineering technologies. Evaluate, prototype, and recommend new tools and frameworks to continuously improve our data platform
Ensure Governance: Implement and enforce robust data governance, security, and privacy policies in partnership with our security and compliance teams

Fulltime

Senior Scala Engineer (SolstiCE) – Equity Derivatives Tech – VP

The role of a Senior Software Engineer for SolstiCE requires a combination of st...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Proficiency in Scala and Python
Expertise in component integration via REST APIs and message queues, such as Solace
Thorough understanding of multi-threaded programming
Working knowledge of NoSQL databases, such as Couchbase
Ability to create and maintain project builds (Gradle) and CI/CD pipelines (Jenkins, Tekton)
Experience of building and deploying containerised applications (for instance, using OpenShift)
Hands-on professional software development experience at a senior level
Proven experience of defining technical architectures and leading complex projects through to delivery
Proficiency in object-oriented and functional programming
Rigorous application of clean code and TDD principles

Job Responsibility

Liaising with the business stakeholders and business analysts to define new projects, ensure completeness of requirements and agree priorities
Evolving SolstiCE technical architecture, data flows, and integrations with upstream and downstream systems
Designing new core functionality
Implementing and delivering new features to expand product and use case coverage, enabling increased system adoption for critical business processes
Ensuring ongoing system robustness and stability
Coordinating team’s response to production issues
Coaching and mentoring less experienced team members to improve the standard of work

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

Senior Engineer (Scala)

My client are looking for a Senior / Staff-Level Scala Engineer to join a high-i...

Location

United States , New York City

Salary:

160000.00 - 220000.00 USD / Year

Signify Technology

Expiration Date

Until further notice

Requirements

8+ years of professional software engineering experience
3+ years of hands-on experience building production systems with Scala
Experience operating at a Senior or Staff Engineer level with architectural responsibility
Strong system design experience
Solid understanding of backend architecture patterns and best practices
Experience building and maintaining event-driven or reactive systems
Strong communication skills with the ability to explain complex technical concepts clearly
Experience working on business-critical products or high-availability systems

Job Responsibility

Designing and building scalable, high-performance backend services using Scala
Contributing at a senior/staff engineering level with architectural ownership
Leading system design discussions and driving best practices across teams
Working on distributed systems and event-driven architectures
Collaborating closely with product, engineering, and leadership stakeholders
Mentoring engineers and elevating overall code quality and technical standards
Contributing to critical decisions that shape long-term platform strategy

Fulltime

Lead Engineer

The Lead Engineer role involves leading the development of large-scale data plat...

Location

India , Remote

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

3+ years in Data Engineering or Software Engineering roles
Strong proficiency in SQL, Python, PySpark, and familiarity with Scala or Java
Experience with Databricks, Snowflake, and workflow management tools
Hands-on experience with Azure cloud services and big data stores
Understanding of ELT vs ETL patterns and when to apply each
Knowledge of data warehousing, analytic models, and schema design
Undergraduate degree in Computer Science, Statistics, or related field (Graduate degree preferred)

Job Responsibility

Build and maintain large-scale data lakes leveraging Databricks and related technologies
Design and implement ETL/ELT pipelines for structured and unstructured data
Develop processes for data transformation, metadata management, and workload orchestration
Migrate data from traditional Data Warehouse (DWH) systems to data lakes or Snowflake
Ensure smooth integration with Azure services (ADLS, ADF, ADLA, AAS) and other cloud platforms
Optimize query performance and ensure scalability for big data workloads
Implement stream processing and message queuing for real-time data ingestion
Work with cross-functional teams (data scientists, analysts, architects) in a dynamic environment
Provide technical guidance and documentation for stakeholders
Participate in Agile ceremonies and adhere to best practices for iterative development

Fulltime

Vice President, Big Data Scala Engineer

We are seeking an experienced and highly skilled Vice President, Big Data Scala ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
12+ years of progressive experience in software development, with at least 5+ years focusing on big data technologies
3+ years of experience in a leadership or senior architectural role
Extensive hands-on experience with Scala for big data processing
Demonstrated expertise with Apache Spark (Spark Core, Spark SQL, Spark Streaming)
Strong experience with distributed systems and big data ecosystems (e.g., Hadoop, Kafka, Cassandra, HBase, Delta Lake, Snowflake, Databricks)
Proficiency with cloud platforms (AWS, Azure, GCP) and their big data services (e.g., EMR, Redshift, Glue, DataProc, BigQuery)
Experience with containerization technologies (Docker, Kubernetes) and CI/CD pipelines
Solid understanding of data warehousing concepts, ETL/ELT processes, and data modeling
Familiarity with functional programming paradigms in Scala

Job Responsibility

Lead the architecture, design, and development of high-performance, scalable, and reliable big data processing systems using Scala and Apache Spark
Drive technical vision and strategy for big data initiatives
Evaluate and recommend new technologies and tools
Design, develop, and optimize data pipelines for ingestion, transformation, and storage of massive datasets
Implement robust and efficient data processing jobs using Scala and Spark (batch and streaming)
Ensure data quality, integrity, and security
Promote and enforce best practices in coding, testing, and deployment
Mentor and guide a team of talented big data engineers
Conduct code reviews, provide constructive feedback
Participate in the recruitment and hiring

What we offer

Opportunity to work on cutting-edge big data technologies and impactful projects
A collaborative and innovative work environment
Competitive compensation and benefits package
Opportunities for professional growth and career advancement

Fulltime

Bigdata Support Lead Engineer

The Lead Data Analytics analyst is responsible for managing, maintaining, and op...

Location

India , Bengaluru; Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of total IT experience
5+ years of experience in supporting Hadoop (Cloudera)/big data technologies
5+ years of experience in public cloud infrastructure (AWS or GCP)
Experience with Kubernetes and cloud-native technologies
Experience with all aspects of DevOps (source control, continuous integration, deployments, etc.)
Advanced knowledge of the Hadoop ecosystem and Big Data technologies
Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr)
Knowledge of troubleshooting techniques for Hive, Spark, YARN, Kafka, and HDFS
Advanced Linux system administration and scripting skills (Shell, Python)
Experience on designing and developing Data Pipelines for Data Ingestion or Transformation using Spark with Java or Scala or Python

Job Responsibility

Lead day to day operation and support for Cloudera Hadoop ecosystem components (HDFS, YARN, Hive, Impala, Spark, HBase, etc)
Troubleshoot issues related to data ingestion, job failures, performance degradation and service unavailability
Monitor cluster health using Cloudera Manager and respond to alerts, logs, and metrics
Collaborate with engineering teams to analyze root causes and implement preventive measures
Collaborate patching, service restarts, failovers and rolling restarts for cluster maintenance
Assist in user onboarding, access control and issues in accessing the cluster services
Contribute to documentation for knowledge base
Work on data recovery, replication, and backup support tasks
Responsible for moving all legacy workloads to cloud platform
Ability to research and assess open-source technologies, public cloud tech stack (AWS/GCP) components to recommend and integrate into the design and implementation

Fulltime

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Scala Lead Engineer

Job Description

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