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Sr. Data Engineer - Databricks

Anblicks
IND
Hybrid
Discovered 1 months ago
Data engineeringETL/ELT developmentDatabricksApache SparkPythonJava

Full Job Posting

Role Overview

Anblicks is seeking experienced Senior Data Engineers to design, build, and optimize scalable data platforms and high-performance ETL/ELT pipelines.

The role uses Databricks, Apache Spark, Python, Java, and SQL to deliver enterprise-grade data solutions.

The position is based in Hyderabad, India, follows a hybrid model, requires 6+ years of experience, and has six openings.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and Apache Spark.
  • Build ingestion, transformation, processing, validation, monitoring, logging, and error-handling frameworks for large-scale datasets.
  • Develop and optimize workloads using Python, Java, Spark, and SQL, including complex SQL queries.
  • Tune Spark jobs, queries, pipelines, and data processing workloads for performance and scalability.
  • Collaborate with stakeholders, analysts, architects, and engineering teams to deliver data solutions.
  • Contribute to cloud-based data platforms, modern architectures, security, governance, and operational excellence.
  • Troubleshoot production issues and mentor junior engineers while contributing to reusable frameworks and technical standards.

Required Qualifications

  • 6-10 years of professional experience in software development and/or data engineering delivering production-grade data solutions.
  • Strong hands-on experience with data engineering, ETL/ELT development, Databricks, and Apache Spark.
  • Strong Python and Java programming skills and advanced SQL proficiency.
  • Experience designing scalable data pipelines and distributed data processing solutions.
  • Understanding of data warehousing, data modeling, data ingestion, transformation, data quality, and pipeline optimization.
  • Strong troubleshooting, debugging, and performance tuning capabilities.
  • Experience in Agile development environments and cross-functional collaboration.
  • Bachelor's degree in computer science, computer engineering, software engineering, or a related technical field, or equivalent professional experience.

Preferred Qualifications

  • Experience with AWS cloud services and cloud-based data platforms.
  • Experience with Delta Lake and Databricks Workflows, Jobs, notebooks, clusters, and deployment practices.
  • Experience with CI/CD, Git, and DevOps practices for data engineering.
  • Exposure to AdTech, MarTech, Customer Data Platforms, or customer analytics environments.

Workplace

  • Hyderabad, India; hybrid work model.

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