Looking for Application Support Lead with Data & AWS experience for Production Systems.
Key Skills:
- Strong AWS knowledge in terms of designing new architecture and providing optimized solution for existing one.
- In-depth knowledge with respect to Snowflake and its architecture.
- provide solutioning and drive the implementation of DOPS features which includes - building IAC infra, Git Lab re-structuring, Git lab Upgrades monitoring etc.,
- Should have the vision on data strategy and able to deliver the same.
- Should be able to lead the design and implementation of data management processes, including data sourcing, integration, and transformation.
- Able to manage and lead a team of data professionals, providing guidance, mentoring and foster a collaborative and innovative team culture focused on continuous improvement.
- To evaluate and recommend data-related technologies, tools, and platforms.
- Collaborate with IT teams to ensure seamless integration of data solutions.
- Should have experience in Implementing and enforce data security protocols and ensure compliance with relevant regulations.
Required Qualifications:
- Experience as a Lead: 5+ years, should pose a strong character in leading a small team.
- Bachelor qualification in a computer science or STEM (science, technology, engineering, or mathematics) related field.
- At least 8+ years of strong data warehousing experience using RDBMS and Non-RDBMS databases.
- At least 5 years of recent hands-on professional experience (actively coding) working as a
- Lead handling support & production issues.
- Professional experience working in an agile, dynamic and customer facing environment is required.
- Understanding of distributed systems and cloud technologies (AWS) is highly preferred.
- Understanding of data streaming and scalable data processing is preferred to have.
- Experience with large scale datasets, data lake and data warehouse technologies such as
- AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred.
- At least 2+ years of experience in ETL (AWS Glue), Amazon S3, Amazon RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step Functions.
- Strong knowledge in scripting languages like Python, UNIX shell and Spark is required.
- Understanding of RDBMS, Data ingestions, Data flows, Data Integrations etc.
- Technical expertise with data models, data mining and segmentation techniques.
- Experience with full SDLC lifecycle and Lean or Agile development methodologies.
- Knowledge of CI/CD and GIT Deployments.
- Ability to work in team in diverse/ multiple stakeholder environment.
- Ability to communicate complex technology solutions to diverse teams namely,
- technical, business and management teams.
Internal Responsibilities:
- Work with stakeholders to understand needs for data structure, availability, scalability, and accessibility.
- Develop tools to improve data flows between internal/external systems and the data lake/warehouse.
- Build robust and reproducible data ingest pipelines to collect, clean, harmonize, merge, and consolidate data sources.
- Understanding existing data applications and infrastructure architecture
- Build and support new data feeds for various Data Management layers and Data Lakes
- Evaluate business needs and requirements.
- Support migration of existing data transformation jobs in Oracle, and MS-SQL to Snowflake.
- Lead the migration of the existing data transformation jobs in Oracle, Hive, Impala etc. into Spark, Python on Glue etc.
- Able to document the processes and steps.
- Develop and maintain datasets.
- Improve data quality and efficiency.
- Lead Business requirements and deliver accordingly.
- Collaborate with Data Scientists, Architect and Team on several Data Analytics projects.
- Collaborate with DevOps Engineer to improve system deployment and monitoring
- process.
- Experience in critical production support and how the BAU functions is preferred.
- Soft Skills
- Ability to work in a collaborative environment and coach other team members on coding practices, design principles, and implementation patterns that lead to high quality maintainable solutions.
- Excellent communications and stake-holder management is required.
- Ability to handle the senior leadership and report to them if required.
- Ability to work in a dynamic, agile environment within a geographically distributed team.
- Ability to focus on promptly addressing customer needs.
- Ability to work within a diverse and inclusive team.
- Technically curious, self-motivated, versatile and solution oriented
