BAU (AWS & Data) Lead

at  TECHEMERGE SOLUTIONS PTE LTD

Required Technical and Professional Expertise At least 8+ years of strong data warehousing experience using RDBMS and Non-RDBMS databases.

• 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 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.
• 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

• 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 Technical and Professional Expertise At least 8+ years of strong data warehousing experience using RDBMS and Non-RDBMS databases.

• 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 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.
• 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.