3M Consultancy
1 - 10 employees
Founded 2018
🤝 B2B
🎯 Recruiter
B2B • Recruitment • Staffing
3M Consultancy is an established Information Technology Staffing Firm dedicated to fulfilling hiring needs for businesses of all sizes. With over 15 years of experience, they pride themselves on sourcing top talent by meticulously understanding client requirements and business culture. Their strategic approach, which combines flexibility and a deep understanding of industry demands, ensures that organizations receive candidates who fit their unique needs and goals.
Data Analyst – IRS MBI Clearance Required
Job not on LinkedIn
🕒 May 21
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3M Consultancy
1 - 10 employees
Founded 2018
🤝 B2B
🎯 Recruiter
B2B • Recruitment • Staffing
3M Consultancy is an established Information Technology Staffing Firm dedicated to fulfilling hiring needs for businesses of all sizes. With over 15 years of experience, they pride themselves on sourcing top talent by meticulously understanding client requirements and business culture. Their strategic approach, which combines flexibility and a deep understanding of industry demands, ensures that organizations receive candidates who fit their unique needs and goals.
📋 Description
• Build and optimize data pipelines • Lead data pipeline projects • Mentor junior engineers • Collaborate with analytics, ML, or BI teams • Ensure data governance and compliance
🎯 Requirements
• 3–5+ years in data engineering or backend data systems • Experience leading data pipeline projects and mentoring junior engineers • Proficient in building and optimizing ETL/ELT pipelines using tools like Apache Airflow, Spark, dbt, Kafka, Databricks, or Flink • Strong skills in SQL, Python or Scala • Working with data warehouses (Snowflake, BigQuery, Redshift) and data lakes (e.g., Delta Lake, Lakehouse architecture) • Familiar with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), and orchestration • Experience in CI/CD and data versioning (e.g., DVC) • Bonus: Experience with real-time data processing, cataloging, data governance, privacy/compliance (GDPR, HIPAA), and cross-functional collaboration with analytics, ML, or BI teams.
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