Data Engineer Female Graduate Jobs in Indore

We are looking for a skilled Data Engineer to join our growing team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and data infrastructure to support business intelligence, analytics, and data-driven decision-making. The candidate should have strong expertise in Python, SQL, ETL processes, cloud technologies, and modern data engineering practices.Location: IndoreExperience: 3-5 YearsKey ResponsibilitiesDesign, develop, and maintain scalable data pipelines for data ingestion, transformation, and integration.Build, optimize, and maintain data warehouses, data lakes, and relational databases.Ensure data accuracy, integrity, and consistency through validation and quality assurance processes.Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective solutions.Optimize database performance and manage large-scale datasets for efficient processing.Develop and maintain ETL/ELT workflows using industry-standard tools and best practices.Work with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).Utilize big data technologies including Apache Spark, Hadoop, and Kafka where applicable.Automate, schedule, and monitor workflows using Apache Airflow or similar orchestration tools.Implement data governance, security, and compliance standards.Troubleshoot and resolve data pipeline, database, and ETL-related issues.Stay updated with the latest trends and technologies in data engineering.Required SkillsProgramming & DatabaseStrong proficiency in Python (Pandas, NumPy)Excellent SQL skillsExperience with relational databases such as SQL Server, PostgreSQL, or MySQLData EngineeringStrong understanding of ETL/ELT conceptsHands-on experience with Azure Data Factory (ADF), SSIS, or similar ETL toolsExperience in designing scalable data pipelinesData ModelingEntity-Relationship (ER) DiagramsDimensional ModelingData NormalizationCloud & Big DataExperience with AWS, Azure, or GCPFamiliarity with Apache Spark, Hadoop, and KafkaKnowledge of Apache Airflow for workflow orchestrationGood to HaveExperience with Git and CI/CD pipelinesKnowledge of Docker or KubernetesExposure to Power BI, Tableau, or other BI toolsUnderstanding of data governance and security best practicesQualificationBachelor's degree in Computer Science, Information Technology, Engineering, or a related field.3-5 years of experience in Data Engineering or a similar role.How to ApplyInterested candidates can send their updated CV to chhabi.s@zecdata.com or contact 9039081253 for more information.

3+ years of AWS data engineering: Glue, Step Functions, Lambda, S3, DynamoDB, EC2Strong Python (boto3) scripting for automationTerraform or CloudFormation expertiseHands-on experience integrating RAG workflows or deploying LLM applicationsSolid SQL and NoSQL data-modeling skillsExcellent written and verbal communication in client-facing contexts

Responsibilities: Design, develop, and maintain scalable data pipelines using modern data engineering tools and technologies. Extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, cloud storage) into data warehouses or data lakes. Understand data requirements from business team and ensure data quality and consistency. Optimize data pipelines for performance and efficiency. Optimize data infrastructure for ML model training and deployment. Explore and experiment with new data engineering techniques and technologies. Qualifications: Bachelors degree in Computer Science, Data Science, or a related field. 1-2 years of hands-on experience in data engineering or a similar role. Strong proficiency in Python and common data engineering tools (e.g., Apache Spark, Hadoop, Airflow). Knowledge of SQL and experience working with relational and NoSQL databases. Understanding of data warehousing and data lake concepts. Familiarity with AI/ML and LLM workflows and data requirements. Excellent problem-solving, analytical, and communication skills. Passion for data engineering and a desire to contribute to AI/ML projects. Experience with cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data engineering services is big plus. Knowledge of data visualization tools (e.g., Tableau, Power BI). Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with LLM architectures and applications.