Senior Data Engineer #2344 (Remote)
Chennai, India
CES
CES delivers high-quality solutions tailor-made to client-specific needs by bringing the best of consulting, operations, and technology expertise.CES has 26+ years of experience in delivering Software Product Development, Quality Engineering, and Digital Transformation Consulting Services to Global SMEs & Large Enterprises. CES has been delivering services to some of the leading Fortune 500 Companies including Automotive, AgTech, Bio Science, EdTech, FinTech, Manufacturing, Online Retailers, and Investment Banks. These are long-term relationships of more than 10 years and are nurtured by not only our commitment to timely delivery of quality services but also due to our investments and innovations in their technology roadmap. As an organization, we are in an exponential growth phase with a consistent focus on continuous improvement, process-oriented culture, and a true partnership mindset with our customers. We are looking for the right qualified and committed individuals to play an exceptional role as well as to support our accelerated growth.
You can learn more about us at: http://www.cesltd.com/
Qualifications
• Extensive experience in Python, Pandas and SQL, with other languages such as R or Pyspark desirable
• Extensive experience with SQL and NoSQL (e.g., Postgres, Aurora, SQL Server, Oracle, Neo4j) databases
• Demonstratable experience with modern ETL tools (e.g. AWS Glue, AWS Step Functions, Kafka etc.)
• DevOps experience around continuous delivery and approaches to continuous integration (Jenkins, Docker, Cloudformation/Terraform)
• Experience contributing alongside other Senior Engineers, to the Architectural conceptualization, design, implementation, and maintenance of modern data pipelines.
Expectations
• Excellent problem solving, and analysis skills coupled with great communication skills and strong attention to detail
• Commitment to excellence and meeting high quality standards expected by our clients
• Experience in working in different delivery methodologies and an understanding of their benefits/constraints
• We are a hybrid working company and the successful applicant will be expected to be physically present in the Edinburgh office at least 2 days per week to foster and contribute to a collaborative environment, but this may be subject to change in the future.
Leadership
• Lead a culture of product development where solving problems for our customers is the highest priority.
• Act as and be seen as a respected and trusted technology advisor within technology and across the business.
• Identify emerging technologies or applications and the opportunities to integrate them into our operations and activities.
• Communicate effectively across functions as required.
Collaboration
• Work in collaboration with team members to perform scoping, estimation, and technology feasibility tasks for the intended solution.
• Manage dependencies among engineering activities and constantly monitor, assess, and control the technical execution.
• Address technical queries and elicit, prioritize, and negotiate changes to requirements and defects.
• Contribute to system and data issue identification and resolution within teams across the organization.
Quality
• Anticipating technical problems that will fall out of major products and designing solutions to overcome those problems.
• Promote a culture of code quality and continuous improvement.
• Drive the importance of data accuracy from internal and external sources.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS AWS Glue CloudFormation Consulting Data pipelines DevOps Docker Engineering ETL FinTech Jenkins Kafka Neo4j NoSQL Oracle Pandas Pipelines PostgreSQL PySpark Python R SQL Step Functions Terraform
Perks/benefits: Startup environment
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.