Job Description

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.

? 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 data engineer (back-end software engineer considered).

? 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. ? Atleast 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.

Job Types: Full-time, Permanent

Pay: ?1,800,000.00 - ?2,000,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Schedule:

• Day shift

Supplemental pay types:

• Yearly bonus

Experience:

• total work: 8 years (Required)
• Lead: 5 years (Required)

Work Location: In person