Job Description
Job Title: Data Engineer
nLocation: Hyderabad
nExperience: 5+Years
n

nJob Summary:
nWe are looking for a skilled and experienced Data Engineer with over 5 years of experience in data engineering and data migration projects. The ideal candidate should possess robust expertise in SQL, Python, data modeling, data warehousing, and ETL pipeline development. Experience with big data tools like Hadoop and Spark, along with AWS services such as Redshift, S3, Glue, EMR, and Lambda, is essential. This role provides an excellent opportunity to work on large-scale data solutions, enabling data-driven decision-making and operational excellence.
n

nKey Responsibilities:
n• Design, build, and maintain scalable data pipelines and ETL processes.
n• Develop and optimize data models and data warehouse architectures.
n• Implement and manage big data technologies and cloud-based data solutions.
n• Perform data migration, data transformation, and integration from multiple sources.
n• Collaborate with data scientists, analysts,



and business teams to understand data needs and deliver solutions.
n• Ensure data quality, consistency, and security across all data pipelines and storage systems.
n• Optimize performance and manage cost-efficient AWS cloud resources.
n

nBasic Qualifications:
n• Master's degree in computer science, Engineering, Analytics, Mathematics, Statistics, IT, or equivalent.
n• 5+ years of experience in Data Engineering and data migration projects.
n• Proficient in SQL and Python for data processing and analysis.
n• Strong experience in data modeling, data warehousing, and building data pipelines.
n• Hands-on experience with big data technologies like Hadoop, Spark, etc.
n• Expertise in AWS services including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM.
n• Understanding of ETL development best practices and principles.
n

nPreferred Qualifications:
n• Knowledge of data security and data privacy best practices.

📌 Senior Data Engineer (Hyderabad)
🏢 Quest Global
📍 Hyderabad