Sr. Data Engineer
Job Description :-
Experience: 10+ Years
Required Skills
• Proficiency in data engineering programming languages (preferably Python, alternatively Scala or Java)
• Proficiency in atleast one cluster computing frameworks (preferably Spark, alternatively Flink or Storm)
• Proficiency in atleast one cloud data lakehouse platforms (preferably AWS data lake services or Databricks, alternatively Hadoop), atleast one relational data stores (Postgres, Oracle or similar) and atleast one NOSQL data stores (Cassandra, Dynamo, MongoDB or similar)
Proficiency in atleast one scheduling/orchestration tools (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), one or more data modelling 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 IaC (preferably Terraform, alternatively AWS cloud formation)
While others say it, we do it: we care. We have great people and we do great work. Just as importantly, we have great relationships with an impressive clientele. Over 1,000 talented, diverse, and career-minded professionals are carving out their role and experiencing a good mix of challenges and opportunities - and we're rooting for them along the way, every day. For more, click: 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, status as a protected veteran, status as a qualified individual with a disability, or any other trait protected by law.
Job Description :-
Experience: 10+ Years
Required Skills
• Proficiency in data engineering programming languages (preferably Python, alternatively Scala or Java)
• Proficiency in atleast one cluster computing frameworks (preferably Spark, alternatively Flink or Storm)
• Proficiency in atleast one cloud data lakehouse platforms (preferably AWS data lake services or Databricks, alternatively Hadoop), atleast one relational data stores (Postgres, Oracle or similar) and atleast one NOSQL data stores (Cassandra, Dynamo, MongoDB or similar)
Proficiency in atleast one scheduling/orchestration tools (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), one or more data modelling 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 IaC (preferably Terraform, alternatively AWS cloud formation)
While others say it, we do it: we care. We have great people and we do great work. Just as importantly, we have great relationships with an impressive clientele. Over 1,000 talented, diverse, and career-minded professionals are carving out their role and experiencing a good mix of challenges and opportunities - and we're rooting for them along the way, every day. For more, click: 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, status as a protected veteran, status as a qualified individual with a disability, or any other trait protected by law.
