Lead Data Solutions Architect

7 days ago


Bengaluru, Karnataka, India Tiger Analytics Full time

Company Overview:

Tiger Analytics is a global leader in AI and analytics consulting, driven by innovation and expertise. With data and technology at the heart of our solutions, we're shaping the future of business and impacting lives globally.

About the Role:

We're seeking an exceptional Lead Data Solutions Architect to join our team in Chennai, Hyderabad, or Bangalore. As a key member of our data engineering team, you'll design and build scalable data ingestion pipelines, process high-performance data, and collaborate with stakeholders to drive analytical solutions.

Key Responsibilities:

  • Design and implement metadata-driven data ingestion pipelines for batch and streaming datasets
  • Conceptualize and execute high-performance data processing for structured and unstructured data, and data harmonization
  • Schedule, orchestrate, and validate pipelines, ensuring efficient data flow
  • Implement exception handling and log monitoring for debugging, ensuring seamless data processing
  • Collaborate with peers to make informed tech stack and tools decisions, driving data-driven insights
  • Interact with multiple teams and stakeholders to meet deadlines, delivering high-quality analytical solutions

Requirements:

  • 4-9 years of IT experience, with 2+ years in big data engineering and Microsoft Azure
  • Experience implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, and Azure SQL Database
  • A comprehensive foundation in Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview
  • Passion for writing high-quality code, modular, scalable, and free of bugs, with strong debugging skills in SQL, Python, or Scala/Java
  • Enthusiasm for collaboration with various stakeholders across the organization, taking ownership of deliverables
  • Experience with big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search
  • Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV
  • Good knowledge of building and designing REST APIs, with real-time experience working on Data Lake or Lakehouse projects
  • Experience supporting BI and Data Science teams in consuming data in a secure and governed manner
  • Certifications like Data Engineering on Microsoft Azure (DP-) or Databricks Certified Developer (DE) are valuable additions

Estimated Salary: ₹1,200,000 - ₹1,800,000 per annum, depending on expertise and experience



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