300000 - 300000 Indian Rupee - Yearly
Vadodara, Gujarat, India
Information Technology
Full-Time
Weekday
Overview
This role is for one of our clients
Industry: Technology, Information and Media
Seniority level: Mid-Senior level
Min Experience: 5 years
Location: Bengaluru, India, Karnataka
JobType: full-time
We are seeking a Big Data Engineer with deep technical expertise to join our fast-paced, data-driven team. In this role, you will be responsible for designing and building robust, scalable, and high-performance data pipelines that fuel real-time analytics, business intelligence, and machine learning applications across the organization.
If you thrive on working with large datasets, cutting-edge technologies, and solving complex data engineering challenges, this is the opportunity for you.
What You’ll Do
Design & Build Pipelines: Develop efficient, reliable, and scalable data pipelines that process large volumes of structured and unstructured data using big data tools.
Distributed Data Processing: Leverage the Hadoop ecosystem (HDFS, Hive, MapReduce) to manage and transform massive datasets.
Starburst (Trino) Integration: Design and optimize federated queries using Starburst, enabling seamless access across diverse data platforms.
Databricks Lakehouse Development: Utilize Spark, Delta Lake, and MLflow on the Databricks Lakehouse Platform to enable unified analytics and AI workloads.
Data Modeling & Architecture: Work with stakeholders to translate business requirements into flexible, scalable data models and architecture.
Performance & Optimization: Monitor, troubleshoot, and fine-tune pipeline performance to ensure efficiency, reliability, and data integrity.
Security & Compliance: Implement and enforce best practices for data privacy, security, and compliance with global regulations like GDPR and CCPA.
Collaboration: Partner with data scientists, product teams, and business users to deliver impactful data solutions and improve decision-making.
What You Bring
Must-Have Skills
5+ years of hands-on experience in big data engineering, data platform development, or similar roles.
Strong experience with Hadoop, including HDFS, Hive, HBase, and MapReduce.
Deep understanding and practical use of Starburst (Trino) or Presto for large-scale querying.
Hands-on experience with Databricks Lakehouse Platform, Spark, and Delta Lake.
Proficient in SQL and programming languages like Python or Scala.
Strong knowledge of data warehousing, ETL/ELT workflows, and schema design.
Familiarity with CI/CD tools, version control (Git), and workflow orchestration tools (Airflow or similar).
Nice-to-Have Skills
Experience with cloud environments such as AWS, Azure, or GCP.
Exposure to Docker, Kubernetes, or infrastructure-as-code tools.
Understanding of data governance and metadata management platforms.
Experience supporting AI/ML initiatives with curated datasets and pipelines.
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Email
info@antaltechjobs.in