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Lead Data Engineer

2 weeks ago

Hyderabad, Telangana, India Blumetra Full time ₹ 12,00,000 - ₹ 36,00,000 per year

We are seeking a highly skilled Lead Data Engineer/Associate Architect to lead the design, implementation, and optimization of scalable data architectures. The ideal candidate will have a deep understanding of data modeling, ETL processes, cloud data solutions, and big data technologies. You will work closely with cross-functional teams to build robust, high-performance data pipelines and infrastructure to enable data-driven decision-making.

Experience: years

Work Location: Hyderabad (Hybrid) / Remote

Mandatory skills: Python, SQL, Snowflake

Responsibilities:

  • Design and Develop scalable and resilient data architectures that support business needs, analytics, and AI/ML workloads.
  • Data Pipeline Development: Design and implement robust ETL/ELT processes to ensure efficient data ingestion, transformation, and storage.
  • Big Data & Cloud Solutions: Architect data solutions using cloud platforms like AWS, Azure, or GCP, leveraging services such as Snowflake, Redshift, BigQuery, and Databricks.
  • Database Optimization: Ensure performance tuning, indexing strategies, and query optimization for relational and NoSQL databases.
  • Data Governance & Security: Implement best practices for data quality, metadata management, compliance (GDPR, CCPA), and security.
  • Collaboration & Leadership: Work closely with data engineers, analysts, and business stakeholders to translate business requirements into scalable solutions.
  • Technology Evaluation: Stay updated with emerging trends, assess new tools and frameworks, and drive innovation in data engineering.

Required Skills:

  • Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
  • Experience: years of experience in data engineering
  • Cloud Platforms: Strong expertise in AWS/Azure data services.
  • Databases: Hands-on experience with SQL, NoSQL, and columnar databases such as PostgreSQL, MongoDB, Cassandra, and Snowflake.
  • Programming: Proficiency in Python, Scala, or Java for data processing and automation.
  • ETL Tools: Experience with tools like Apache Airflow, Talend, DBT, or Informatica.
  • Machine Learning & AI Integration (Preferred): Understanding of how to architect data solutions for AI/ML applications