- Required to have the accessibility and ability to work with, and gain the respect of, stakeholders at all levels and roles within the company.
- Should be a confident and energetic self-starter.
- Has good judgment, a sense of urgency and has proven commitment to high standards of ethics, regulatory compliance, customer service and business integrity.
- Displays intellectual curiosity and integrity.
- Required to lead a team of engineers.
- Motivated and driven by achieving long-term business outcomes.
- Work as part of cross functional implementation team to deliver a high-quality SaaS based data platform.
- Deploy and support data extraction, integration, modelling, transformation, and BI systems/applications.
- Implement data source integrations through automation or manual steps during the implementation process.
- Leads and collaborates with people from different teams to achieve common goals.
- Contribute and create technical documentation such as technical specifications, test plans and product documentation.
- Ensure the integrations from data warehousing team are set up correctly and confirm that the dataset is accurate.
- Support the maintenance and troubleshooting of the data platform.
- Provides mentorship to other team members and support them when required.
- Working Experience with Python, PySpark, any relational DBMS (Microsoft SQl Server/MySQL/Postgres), and/or database warehouses (such as Amazon RedShift/Snowflake/BigQuery).
- Experience working with APIs.
- Must have been involved in code review process, preparing technical documentation, architecture diagrams.
- Hands-on Experience designing, developing applications in any of the cloud platform preferably - AWS.
- Experience working in an agile development environment and with project management tools such as JIRA.
- Ability to document SDKs and libraries and articulate technical information efficiently.
- Strong team player and be able to work with customers and multiple teams during integration projects.
- Strong written and verbal English skills, with the ability to communicate clearly with the team and clients.
- Solid analytical, problem solving and decision-making skills.
- Experience with SaaS multi-tenant architecture.
- Knowledge of software engineering practices for the full development life cycle, including coding standards, code reviews, source control management, build processes, testing and operations.
- Experience with AWS (ECR, S3, ECS, API Gateway, Lambda, Cognito, Kinesis, CI/CD Pipelines, Step Functions, Glue ETL, Batch Jobs, Athena).
- Experience with Docker.
- Knowledge or Familiarity with Quick sight and/or similar Business Intelligence technologies is a plus.
- Familiarity with Continuous Delivery systems and Lean-Agile methodologies (Scrum / Kanban).
- As part for Analytics Alliance Team, we are responsible for executing our enterprise data strategy which emphasizes data management maturity, fosters a robust data culture, and architects a best-in-class enterprise data platform.
- The team of 40+, distributed across India and is composed of data engineers, data analysts, visualization developers, and database administrators.
- This position will directly report to Analytics Practice Head – Priyanka.
- Flexible working hours (1 PM IST to 10 PM IST) to create a work-life balance.
- Opportunity to work on advanced tools and technologies.
- Global exposure to not only collaborate with the team, but also to connect with the client portfolio and build professional relationships.
- High preference for any innovative ideas or thoughts and supporting in executing the same.
- Regular rewards and recognitions on your performance
- Provides a better platform for enhancing your skills via many different L&D programs.
- Enabling and empowering atmosphere across
- Additional recognitions on your Birthday's and Service Anniversaries
- Amazing health coverage policy for employees and their family
- Many different outdoor tournaments for sports enthusiasts
- Regular team engagement plans
- "Bring your buddy to work with you" - An employee referral program.
- Distinct categories of incentives at different levels
- Better career growth-oriented opportunities for every individual.
Senior Data Engineers - India - CES
Description
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:
Job Role :
CES is looking for seasoned Data and Analytics Lead / Architect to drive the future state technology architecture, analyze and evaluate the technology, help to raise the level of data literacy with our customers, and lead and collaborate with the customer and delivery team to deliver business values.
Interpersonal Skills and Characteristics.
Primary / Basic Expectation:
Primary Skills& Exp Range
Python -5 + Years
AWS - 3 + years
Any RDBMS -3 + Years
Nice to Have:
Skills & Exp Range
Devops - 2 Years
About the Team:
Why CES?
Benefits: