Data Engineer Female Graduate Jobs in Delhi

Key Responsibilities:- Design and manage data pipelines to transform and integrate structured and unstructured data.- Ensure high data quality and performance.- Support analytics, reporting, and business intelligence needs by preparing reliable data sets and models for stakeholders.- Collaborate with Analysts, Digital Project Managers, Developers, and business teams to ensure data accessibility and usefulness.- Enforce standards for data governance, security, and cost-effective operations.Ideal candidates will thrive in a collaborative, mission-focused environment and excel in ETL/ELT engineering. They should have experience building scalable data solutions using modern data engineering technologies that impact organizational outcomes.Required Qualifications:- Strong proficiency in Structured Query Language (SQL) and at least one programming language such as Python or Scala.- Hands-on experience developing ETL or ELT pipelines.- Experience with cloud-native data services (e.g., AWS Glue, AWS Redshift, Azure Data Factory, Azure Synapse, Databricks).- Good understanding of data modeling and data warehousing concepts.Desired Qualifications:- Design, build, and optimize scalable ETL or ELT pipelines handling both structured and unstructured data.- Ingest and integrate data from internal and external sources into data lakes or data warehouses.- Ensure that processed data is accurate, complete, and secure.Outcomes include well-documented, automated pipelines that support downstream analytics without bottlenecks or data errors.

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

Level of skills and experience:5 years of hands-on experience in using Python, Spark,Sql.Experienced in AWS Cloud usage and management.Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.Experience with orchestrators such as Airflow and Kubeflow.Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).Fundamental understanding of Parquet, Delta Lake and other data file formats.Proficiency on an IaC tool such as Terraform, CDK or Cloud Formation.Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst

3+ years of experience with AWS services including SQS, S3, Step Functions, EFS, Lambda, and OpenSearch.Strong experience in API integrations, including experience working with large-scale API endpoints.Proficiency in PySpark for data processing and parallelism in large-scale ingestion pipelines.Experience with AWS OpenSearch APIs for managing search indices.Terraform expertise for automating and managing cloud infrastructure.Hands-on experience with AWS SageMaker, including working with machine learning models and endpoints.Strong understanding of data flow architectures, document stores, and journal-based systems.Experience in parallelizing data processing workflows to meet strict performance and SLA requirements.Familiarity with AWS tools like CloudWatch for monitoring pipeline performance.Additional Preferred Qualifications:Strong problem-solving and debugging skills in distributed systems.Prior experience in optimizing ingestion pipelines with a focus on cost-efficiency and scalability.Solid understanding of distributed data processing and workflow orchestration in AWS environments.Soft Skills:Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.Ability to work in a fast-paced environment and deliver high-quality results under tight deadlines.Analytical mindset, with a focus on performance optimization and continuous improvement.

Hello Everyone,Greetings!We are actively hiring a Data Engineer for our India team! If you or someone in your network is interested, please review the job details below and reach out to me at gaurav.sharma@cxdatalabs.com with you cv.Key Responsibilities:and optimize database data modeling with expertise in Azure Synapse, Azure DataFactory, and Databricks.data migration and modernization efforts within the Enterprise Data Lake.and implement data pipelines, ETL mappings, sessions, and workflows.data transformation, data modeling/mart creation, and scheduling coordination.closely with the Enterprise Information Management Team on data validation strategis, quality analysis, issue resolution, and unit testing.smooth release management and system integration.Qualifications & Skills Required:years of experience in Data Engineering, with a strong domain background in Clinical Research & Biopharmaceutical services.in data platforms and analytics systems, collaborating with Product Owners and stakeholders.in data modeling tools (ER Studio, Erwin) and cloud technologies.understanding of ETL processes, data quality management, and integration strategies.with Agile tools like Jira, Confluence, and Asana.problem-solving skills with the ability to identify areas for improvement and alignbusiness requirements.communication skills to proactively communicate integration changes in advance.If youre interested or have any referrals, please email me or message me directly.Looking forward to connecting!Best Regards,Gaurav Sharma#8802080222HR Operations PartnerCX Data Labs

Profile - Data Engineer ExecutiveQualification - Graduate With Good Communication SkillExperience - Minimum 1 Year RequiredCandidate Should Have Knowledge of AWS,Spark, Py- Spark, Python, HarkSalary - 24 LPA TO 42 LPA Gender - Male & Female Can ApplyLocation - Pen IndiaDuties & Responsibilities-----Analyze and organize raw data.Build data systems and pipelines.Evaluate business needs and objectives.Interpret trends and patterns.Conduct complex data analysis and report on results.Prepare data for prescriptive and predictive modeling.Build algorithms and prototypes.Only Serious Candidate Apply

Position Overview:We are currently seeking a seasoned Data Engineer to join our dynamic team. The ideal candidate will have a minimum of 4 years of experience in data engineering roles, with a proven track record of delivering high-quality solutions in a fast-paced environment.Responsibilities:Design, build, and maintain scalable data pipelines and infrastructure.Collaborate with cross-functional teams to gather and analyze requirements.Implement best practices for data warehousing, ETL processes, and data integration.Optimize data workflows for performance, reliability, and efficiency.Stay current with emerging technologies and industry trends in data engineering.Qualifications:Bachelor's degree in Computer Science, Engineering, or related field.Minimum of 4 years of professional experience in data engineering.Proficiency in programming languages such as Python, Java, or Scala.Experience with cloud platforms (e.g., AWS, Azure, GCP) and related services.Strong understanding of data modeling, database systems, and SQL.Excellent problem-solving skills and attention to detail.Effective communication and collaboration abilities.

Azure Data EngineerLocation: India (remote)Required Skills: 3-5+ years of experience in Data Engineering 1-2+ years of experience with Azure Cloud and services (ADF, etc) Python/Pyspark or Scala SQL and SSIS preferred

Are you a Mid/Senior level T-Shaped AWS expert with specialization in DevOps and Data Engineering space? If yes, We have an exciting opportunity just for you.One of our reputed European Client is looking for AWS engineers to help them build secure, resilient and cost-effective solutions on AWS platform to reap the benefits from their investment in AWS platform and services.We are looking for self-motivated, highly experienced engineers, possessing great analytical and excellent communication skills for this client facing role.What do we expect from you?Role: Data Engineer (AWS)*Mandatory*Experience in Developing Data Pipelines that process large volumes of data using Python, PySpark, Pandas etc, preferably on AWS.Experience in ingesting batch and streaming data from various data sources.Experience in writing complex SQL using any RDBMS (Oracle, PostgreSQL, SQL Server etc.)Experience in developing ETL, OLAP based and Analytical Applications.Ability to quickly learn and develop expertise in existing highly complex applications and architectures.Comfortable working in Agile projects*Desirable*Exposure to AWS platform's data services (AWS Lambda, Glue, Athena, Redshift, Kinesis etc.)Knowledge of DevOps and CD/CD tools.Experience in handling unstructured dataKnowledge of Financial Markets domainKeywords: Data Engineer, Data Pipelines, Data Ingestion, AWS Lambda, AWS Athena

We have vacant of 5 Data Engineer Jobs in Bangalore, Noida, Experience Required : 9 Years Educational Qualification : Other Bachelor Degree Skill Data Warehousing, ETL, Python, AWS, SCALA, data engineer