Job Title: Senior Data Engineer
Location: Hyderabad
Experience: 6+ Years
Employment Type: Full-Time

Job Summary:

We are looking for a highly skilled Senior Data Engineer to join our Data Engineering team. You will play a key role in designing, implementing, and optimizing robust, scalable data solutions that drive business decisions for our clients. This position involves hands-on development of data pipelines, cloud data platforms, and analytics tools using cutting-edge technologies.

Key Responsibilities:

• Design and build reliable, scalable, and high-performance data pipelines to ingest, transform, and store data from various sources.

• Develop cloud-based data infrastructure using platforms such as AWS, Azure, or Google Cloud Platform (GCP).

• Optimize data processing and storage frameworks for cost efficiency and performance.

• Ensure high standards for data quality, integrity, and governance across all systems.

• Collaborate with cross-functional teams including data scientists, analysts, and product managers to translate requirements into technical solutions.

• Troubleshoot and resolve issues with data pipelines and workflows, ensuring system reliability and availability.

• Stay current with emerging trends and technologies in big data and cloud ecosystems and recommend improvements accordingly.

Required Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

• Minimum 6 years of professional experience in data engineering or a related discipline.

• Proficiency in Python, Java, or Scala for data engineering tasks.

• Strong expertise in SQL and hands-on experience with modern data warehouses (e.g., Snowflake, Redshift, BigQuery).

• In-depth knowledge of big data technologies such as Hadoop, Spark, or Hive.

• Practical experience with cloud-based data platforms such as AWS (e.g., Glue, EMR), Azure (e.g., Data Factory, Synapse), or GCP (e.g., Dataflow, BigQuery).

• Excellent analytical, problem-solving, and communication skills.

Nice to Have:

• Experience with containerization and orchestration tools such as Docker and Kubernetes.

• Familiarity with CI/CD pipelines for data workflows.

• Knowledge of data governance, security, and compliance best practices.