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Job Title: Data Engineer
Location: Hyderabad
Experience: 5+Years
Job Summary:
We 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 strong 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.
Key Responsibilities:
• Design, build, and maintain scalable data pipelines and ETL processes.
• Develop and optimize data models and data warehouse architectures.
• Implement and manage big data technologies and cloud-based data solutions.
• Perform data migration, data transformation, and integration from multiple sources.
• Collaborate with data scientists, analysts, and business teams to understand data needs and deliver solutions.
• Ensure data quality, consistency, and security across all data pipelines and storage systems.
• Optimize performance and manage cost-efficient AWS cloud resources.
Basic Qualifications:
• Master's degree in computer science, Engineering, Analytics, Mathematics, Statistics, IT, or equivalent.
• 5+ years of experience in Data Engineering and data migration projects.
• Proficient in SQL and Python for data processing and analysis.
• Strong experience in data modeling, data warehousing, and building data pipelines.
• Hands-on experience with big data technologies like Hadoop, Spark, etc.
• Expertise in AWS services including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM.
• Understanding of ETL development best practices and principles.
Preferred Qualifications:
• Knowledge of data security and data privacy best practices.
• Experience with DevOps and CI/CD practices related to data workflows.
• Familiarity with data lake architectures and real-time data streaming.
• Strong problem-solving abilities and attention to detail.
• Excellent verbal and written communication skills.
• Ability to work independently and in a team-oriented environment.
Good to Have:
• Experience with orchestration tools like Airflow or Step Functions.
• Exposure to BI/Visualization tools like QuickSight, Tableau, or Power BI.
• Understanding of data governance and compliance standards.
Job ID: 152711275
Skills:
PostgreSQL, Apache Spark, Kafka, Apache Airflow, Pandas, MySQL, Elasticsearch, MongoDB, Python, data pipelines, pgvector, Polars, distributed data systems, Qdrant, NoSQL databases, vector databases, Milvus
Skills:
data engineering , Etl, Sql, Apache Airflow, Tensorflow, Data Analytics, Dashboarding, Machine Learning, Performance Tuning, Pytorch, Data Integration, Shell Scripting, Python, Scikit-Learn, Data Validation
Skills:
Data Engineer, Python, Sql, Pandas, BigQuery, Etl, Docker, Polar
Skills:
Power Bi, PowerShell, Azure Data Factory, Azure Synapse Analytics, Python, Azure DevOps, DAX functions, Azure Blob Storage, CI CD processes, Azure Data Lake Storage, Azure Analysis Services, Azure Data Catalog, Azure Data Services
Skills:
snowflake , Aws Redshift, Power Bi, Data Warehousing, Tableau, Sql, Apache Airflow, Azure Data Factory, Azure Synapse Analytics, Apache Kafka, Databricks, Apache Iceberg, pipeline development, Google BigQuery, Looker, dbt, Delta Lake, Azure Event Hubs, Microsoft Fabric, AWS Kinesis, cloud-native data architecture, Databricks Workflows