Tagcor

Data Engineer

At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure
Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
Experience in AI and ML on AWS/AZURE
Analyzes design and determines coding, programming, and integration activities required based on general objectives.
Play the technical lead role representing deliverables from vendor team resources at onsite and offshore locations.
Lead the technical co-ordination and Business Knowledge transition activities to offshore team.
Reviews and evaluates designs and project activities for compliance with architecture, security and quality guidelines and standards.
Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies defects and creates solutions for issues with code and integration into data system architecture.
Collaborates and communicates with project team regarding project progress and issue resolution.
Works with the data engineering team for all phases of larger and more-complex development projects and engages with external users on business and technical requirements.
Collaborates with peers, engineers, data scientists and project team.

What you bring :

Bachelor's or Master's degree in Computer Science, Information Systems, Engineering or equivalent.
6+ years of relevant experience with detailed knowledge of data technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools.
2+ years of experience with Cloud based DW such as Redshift, Snowflake etc.
1+ years’ experience in Big Data Distributed ecosystems (Hadoop, SPARK, Unity Catalog & Delta Lake)
1+ years’ experience in Big Data Distributed systems such as Databricks, AWS EMR, AWS Glue etc.
Leverage monitoring tools/frameworks, like Splunk, Grafana, CloudWatch etc.
Experience with container management frameworks such as Docker, Kubernetes, ECR etc.
Experience working on CI/CD processes such as Jenkins, Codeway etc. and source control tools such as GitHub, etc.
Strong experience in coding languages like Python, Scala & Java

Knowledge and Skills:

Fluent in relational based systems and writing complex SQL.
Fluent in complex, distributed and massively parallel systems.
Strong analytical and problem-solving skills with ability to represent complex algorithms in software.
Strong understanding of database technologies and management systems.
Strong understanding of data structures and algorithms
Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
Strong analytical and problem-solving skills.

Nice to Have

Experience with visualization tools such as PowerBI, Tableau etc.
Experience with transformation tools such as dbt.
Have experience in building realtime streaming data pipelines
Experience in pub/sub streaming technologies like Kafka, Kinesis, Spark Streaming etc.