Description

You will own the end-to-end delivery of data solutions, from initial requirement analysis to production deployment.

Responsibilities

• Analyze source data and data flows involving structured and unstructured datasets.
• Build data pipelines to extract, transform, and store data across various target systems.
• Design and architect independent technical solutions using modular, referenceable code.
• Drive CI/CD adoption and implement automation-first DevOps practices.
• Work within iterative Agile patterns to align business objectives with technical specifications.

Required Skills

• 6+ years of experience with object-oriented languages, specifically Java, Scala, or Python.
• 3+ years of experience with Apache Spark, PySpark, and Apache Airflow.
• 3+ years of experience with database systems such as Hadoop, Teradata, Redshift, Oracle, MySQL, PostgreSQL, MongoDB, Neo4j, or Cassandra.
• 3+ years of experience with DevOps toolchains including Jenkins, Maven, Artifactory, Docker, Terraform, and Ansible.
• 3+ years of experience with AWS services including Glue, SNS, SQS, S3, ECS, and Lambda.
• 2+ years of experience architecting solutions in cloud environments (AWS, Azure, or Google Cloud).
• 2+ years of experience in Agile environments using Scrum or Kanban.
• 2+ years of experience operationalizing Machine Learning models.

Preferred Skills

• Understanding of Machine Learning frameworks like Scikit-learn or SciPy.
• 1+ years of experience with Deep Learning frameworks.
• AWS Solutions Architect or Developer certifications.
• Data Science or Machine Learning certifications from a recognized institution.

Key Skills

Education

Any Graduate