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Chennai, India Hybrid Big Data & Analytics

Senior Data Engineer

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Description

Ciklum is looking for a Senior Data Engineer to join our team full-time in India.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As a Senior Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.
Our client is a leader in SaaS technology for healthcare, They offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With their expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace.

Responsibilities

  • Responsible for the building, deployment, and maintenance of mission-critical analytics solutions that process terabytes of data quickly at big-data scales
  • Contributes design, code, configurations, manage data ingestion, real-time streaming, batch processing, ETL across multiple data storages
  • Performs development, QA, and dev-ops roles as needed to ensure total end-to-end responsibility of solutions
  • Responsible for performance tuning of complicated SQL queries and Data flows
  • Identify gaps and improve the platform’s quality, robustness, maintainability, and speed
  • Cross-train other team members on technologies being developed, while also continuously learning new technologies from other team members
  • Contribute in the Unit’s activities and community building, participate in conferences, and provide excellence in exercise and best practices

Requirements

  • 5+ years of experience in data engineering
  • Experience designing, building, and maintaining scalable data pipelines
  • Strong knowledge of SQL and databases such as MongoDB, MySQL, PostgreSQL
  • Proficiency in data pipeline orchestration tools (e.g., Airflow, DBT)
  • Experience with cloud platforms like AWS (Glue, Redshift, S3)
  • Familiarity with CI/CD and DevOps for data workflows (GitHub, Docker, Kubernetes)
  • Understanding of data governance, data quality, and security standards
  • 3+ years of experience coding in SQL, Java/Python/Scala/.Net with solid CS fundamentals, including data structure and algorithm design
  • 2+ years contributing to production deployments of large backend data processing and analysis systems
  • 1+ years of hands-on implementation experience working with a combination of the following technologies: Hadoop, Map Reduce, Pig, Hive, Impala, Spark, Kafka, Storm, SQL and NoSQL data warehouses such as Hbase and Cassandra
  • 2+ years of experience in cloud data platforms (AWS,Azure, GCP)
  • Knowledge of professional software engineering best practices for the full software
  • Knowledge of Data Warehousing, design, implementation and optimization
  • Knowledge of Data Quality testing, automation and results visualization
  • Knowledge of BI reports and dashboards design and implementation (PowerBI, Tableau)
  • Knowledge of the development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Experience participating in an Agile software development team, e.g. SCRUM
  • Experience designing, documenting, and defending designs for key components in large distributed computing systems
  • A consistent track record of delivering exceptionally high-quality software on large, complex, cross-functional projects
  • Demonstrated ability to learn new technologies quickly and independently
  • Ability to handle multiple competing priorities in a fast-paced environment
  • Undergraduate degree in Computer Science or Engineering from a top CS program required. Masters preferred.
  • Experience with supporting data scientists and complex statistical use cases highly desirable
  • We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit!

Desirable

  • Experience in data science and machine learning
  • Experience in backend development and deployment
  • Experience in CI/CD configuration
  • Experience with Databrics, Snowflake
  • Experience with Kubernetes
  • Experience in the Healthcare domain

What's in it for you

  • Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well as financial and legal consultation
  • Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy licence, language courses and company-paid certifications
  • Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally
  • Flexibility: hybrid work mode at Chennai or Pune 
  • Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally and fulfil your potential
  • Global impact: work on large-scale projects that redefine industries with international and fast-growing clients
  • Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events

About us:

India is a strategic growth market for Ciklum.
Be a part of a big story created right now. Let’s grow our delivery center in India together! Boost your skills and knowledge: create and innovate with like-minded professionals — all of that within a global company with a local spirit and start-up soul. 
Supported by Recognize Partners and expanding globally, we will engineer the experiences of tomorrow! 
Be bold, not bored!

Experiences of tomorrow. Engineered together

Interested already?

We would love to get to know you! Submit your application. Can’t wait to see you at Ciklum.

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