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Data Engineering - Consultant

5 days, 5 hours ago
India
Contract
Mid Level
Data Engineer
Data Science and Analytics
Apache Spark AWS Azure Databricks GCP Machine Learning Power BI Python Scala Snowflake SQL Tableau
Apply Now
Formativ Group

Formativ Group

We are focused on enabling dynamic workflows, implementing the right application solutions, and ensuring your data is available when and where it’s needed.

Internet Software & Services
View All Jobs 3

Description

  • Support client engagements as a contributing project team member.
  • Gather and understand business and technical requirements.
  • Translate requirements into technical tasks under guidance from senior team members.
  • Prepare presentations, documentation, and project deliverables.
  • Develop and support data solutions on Snowflake, Databricks, AWS, and Azure/Microsoft Fabric.
  • Build and maintain batch data pipelines, with exposure to near real-time processing.
  • Develop ETL/ELT processes and data integration workflows.
  • Contribute to data platforms including data lakes and data warehouses.
  • Troubleshoot and resolve data issues with senior team support.
  • Participate in code reviews, testing, quality assurance, and performance optimization.
  • Manage assigned tasks and deliver work within project timelines.
  • Support analytics and reporting through curated datasets and machine learning data preparation.
  • Support data governance, data quality, metadata, lineage, and technical documentation.
  • Follow data security and compliance standards.

Requirements

  • Bachelor’s degree in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Mathematics, Economics, or a related field.
  • 3-5 years of experience in data engineering, analytics, or related technical roles.
  • Foundational experience with SQL and basic data modeling concepts.
  • Experience with ETL/ELT processes and data integration.
  • Exposure to cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with Snowflake, Databricks, or similar platforms is a plus.
  • Exposure to programming languages such as Python or Scala is preferred.
  • Basic understanding of modern data architecture concepts, including data lakes and data warehouses.
  • Exposure to data visualization tools such as Power BI or Tableau is a plus.
  • Strong analytical and problem-solving skills.
  • High attention to detail and commitment to quality.
  • Effective communication and teamwork skills.
  • Ability to learn quickly and adapt in a consulting-driven, fast-paced environment.

Interested in this position?

Apply directly on the company website

Apply Now

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