Mindteck
Job Description:
Experience:
10+ Years Required Skills:
Proficiency in data engineering programming languages (preferably Python, alternatively Scala or Java) Proficiency in at least one cluster computing framework (preferably Spark, alternatively Flink or Storm) Proficiency in at least one cloud data lakehouse platform (preferably AWS data lake services or Databricks, alternatively Hadoop), at least one relational data store (Postgres, Oracle or similar), and at least one NoSQL data store (Cassandra, Dynamo, MongoDB or similar) Proficiency in at least one scheduling/orchestration tool (preferably Airflow, alternatively AWS Step Functions or similar) Proficiency with data structures, data serialization formats (JSON, AVRO, Protobuf, or similar), big-data storage formats (Parquet, Iceberg, or similar), data processing methodologies (batch, micro-batching, and stream), data modeling techniques (Dimensional, Data Vault, Kimball, Inmon, etc.), Agile methodology (develop PI plans and roadmaps), TDD (or BDD), and CI/CD tools (Jenkins, Git) Strong organizational, problem-solving, and critical thinking skills; strong documentation skills Preferred Skills:
Experience using AWS Bedrock APIs Knowledge of Generative AI concepts (such as RAG, Vector embeddings, Model fine-tuning, Agentic AI) Experience in Infrastructure as Code (IaC), preferably Terraform, alternatively AWS CloudFormation While others say it, we do it:
we care . We have great people and we do great work. We have strong relationships with an impressive clientele. Over 1,000 talented, diverse, and career-minded professionals are carving out their roles, experiencing challenges and opportunities, and we're supporting them every day. For more, visit:
https://www.mindteck.com/career/life-at-mindteck.html Mindteck is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, or any other legally protected trait.
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10+ Years Required Skills:
Proficiency in data engineering programming languages (preferably Python, alternatively Scala or Java) Proficiency in at least one cluster computing framework (preferably Spark, alternatively Flink or Storm) Proficiency in at least one cloud data lakehouse platform (preferably AWS data lake services or Databricks, alternatively Hadoop), at least one relational data store (Postgres, Oracle or similar), and at least one NoSQL data store (Cassandra, Dynamo, MongoDB or similar) Proficiency in at least one scheduling/orchestration tool (preferably Airflow, alternatively AWS Step Functions or similar) Proficiency with data structures, data serialization formats (JSON, AVRO, Protobuf, or similar), big-data storage formats (Parquet, Iceberg, or similar), data processing methodologies (batch, micro-batching, and stream), data modeling techniques (Dimensional, Data Vault, Kimball, Inmon, etc.), Agile methodology (develop PI plans and roadmaps), TDD (or BDD), and CI/CD tools (Jenkins, Git) Strong organizational, problem-solving, and critical thinking skills; strong documentation skills Preferred Skills:
Experience using AWS Bedrock APIs Knowledge of Generative AI concepts (such as RAG, Vector embeddings, Model fine-tuning, Agentic AI) Experience in Infrastructure as Code (IaC), preferably Terraform, alternatively AWS CloudFormation While others say it, we do it:
we care . We have great people and we do great work. We have strong relationships with an impressive clientele. Over 1,000 talented, diverse, and career-minded professionals are carving out their roles, experiencing challenges and opportunities, and we're supporting them every day. For more, visit:
https://www.mindteck.com/career/life-at-mindteck.html Mindteck is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, or any other legally protected trait.
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