Specialist - Data Engineering

LTM

Dallas (TX)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Comprehensive Medical Plan covering Medical, Dental, Vision
Short Term and Long-Term Disability Coverage
401(k) Plan with Company match
Life Insurance
Vacation Time, Sick Leave, Paid Holidays
Paid Paternity and Maternity Leave

Job summary

LTM is seeking an experienced Data Engineer in Dallas, Texas, to manage databases and develop data processing solutions using cloud platforms like Azure and AWS. The role emphasizes collaboration with stakeholders and requires strong technical skills in tools like Snowflake and PostgreSQL. Ideal candidates will have experience in ETL processes and data governance. LTM offers a comprehensive medical plan, 401(k) with company match, and generous vacation leave.

Qualifications

  • Proficiency in Snowflake, AWS services, and PostgreSQL.
  • Strong knowledge of Python and SQL for data processing.
  • Experience with Azure and AWS cloud services.

Responsibilities

  • Manage and optimize databases ensuring high performance.
  • Develop ETL processes for data transformation.
  • Collaborate with stakeholders for data governance.

Skills

Database Management
NoSQL Databases
Python
Cloud Platforms
Data Engineering ETL
Streaming Messaging
Infrastructure / DevOps
Data Visualization
Monitoring / Observability
Operating Systems
Security / Compliance
Project Management
AI / Advanced Analytics

Job description

Technical Skills

Database: Snowflake, Amazon Redshift, PostgreSQL, SQL Server, Oracle

NoSQL Databases: MongoDB, DynamoDB, Cassandra, Azure Cosmos DB, Hive

Programming Languages: Python, SQL, R, PySpark, Scala, Java, Bash, Shell Scripting

Cloud Platforms: Azure Data Factory, Databricks, PySpark, Synapse, Event Hubs, ADLS Gen2, Logic Apps, Key Vault, Azure DevOps Monitor, Purview, HDInsight, Stream Analytics, AWS S3, Glue, Lambda, Redshift, Kinesis, Athena, MWAA, IAM, Lake Formation, CodePipeline, EMR, GCP BigQuery, Cloud Storage, Cloud Functions, PubSub, Looker

Data Engineering ETL: Apache Spark, PySpark, Structured Streaming, Databricks, Apache Airflow, Talend, Informatica PowerCenter, NiFi, dbt, Flink, Kafka, Delta Lake, Apache Iceberg, Hadoop HDFS, MapReduce, Hive, Medallion Architecture (Bronze, Silver, Gold)

Streaming Messaging: Kafka, AWS Kinesis, Azure Event Hubs, Flink

Infrastructure / DevOps: Terraform, Docker, Kubernetes, Jenkins, Git, Azure DevOps CICD Pipelines

Visualization Reporting: Tableau, Power BI, Looker, Amazon QuickSight

Monitoring / Observability: AWS CloudWatch, Spark UI, Airflow Logs

Operating Systems: Linux Ubuntu, Unix, Windows, macOS

Security / Compliance: RBAC, Data Governance, HIPAA, SOC2, GDPR

Project Management: Agile, SCRUM, Jira, Confluence

AI / Advanced Analytics: RAG Pipelines, LLM APIs, OpenAI, Hugging Face, LangChain, Vector Databases, Prompt Engineering

Soft Skills
  • Insurance domain expertise
  • Client stakeholder management
  • Excellent client and team communication skills
Benefits and Perks
  • Comprehensive Medical Plan covering Medical, Dental, Vision
  • Short Term and Long-Term Disability Coverage
  • 401(k) Plan with Company match
  • Life Insurance
  • Vacation Time, Sick Leave, Paid Holidays
  • Paid Paternity and Maternity Leave
Equal Opportunity Employer

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

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