Data Engineer (AWS, SQL) in Rāniganj, India - Jobeax
Vacancy description
Data Engineer (AWS, SQL) in Rāniganj, भारत
Dun & Bradstreet
Rāniganj, भारत
Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Are you ready to make an impact and help shape what's next Join us! We are looking for a Data Engineer to join our team and contribute to building and maintaining applications that power the Dun & Bradstreet Contact Pipeline. This role involves working closely with senior data engineers to optimize data ingestion processes, analyze performance bottlenecks, and implement improvements. You will also create metrics to monitor application performance and throughput, ensuring continuous enhancement
Develop and maintain applications using Python. Take ownership of existing applications for further development and improvements. Analyze codebases to identify and resolve performance issues. Perform data analysis to detect bugs and optimize processes. Participate in code reviews and testing of team members' contributions. Work within agile teams, applying lean principles and SCRUM methodology.
Bachelor's degree (preferably in Computer Science, Mathematics, Data Science, or a related field).
3-6 years of overall experience in software development and data analysis.
Hands-on experience in Python for application development.
Strong proficiency in SQL for data analysis and query generation.
Experience with hosted environments and cloud platforms such as AWS, Azure, or similar (preferred).
Ability to work independently and deliver critical projects on time.
Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. If you would like more information about how your data is processed, please visit
We have vacancies for Aws - Bigdata Specialist https://jobeax.com/link/LSgW7nHRcJryaGUr are looking for a highly skilled Senior AWS Data Engineer to join our growing data engineering team. The ideal candidate will have deep hands-on experience in AWS cloud services, big data processing frameworks, and advanced SQL programming. ...
... https://jobeax.com/link/ieR2UQ5cXUcxBtsX Requirements :- Must have at least 4+ years of hands-on data engineering experience with the recent 2+ years in AWS cloud data warehouses and AWS cloud services.- Must have advanced SQL knowledge and hands-on experience with relational databases and query authoring, plus a cloud data warehouse like AWS ...
... client products and external vendors.- Work with modern data technologies such as Hadoop, Spark, DBT, Dagster/Airflow, Atlan, Trino, Databricks, Snowflake, and AWS.- Identify, design, and implement automation of manual processes, optimizing data delivery and reducing Cloud costs.- Implement systems to monitor Data Quality, ...
... Control & DevOps: Git, GitHub/GitLab, Docker basicsGood to Have :- Databricks Certified Data Engineer Associate/Professional certification.- Familiarity with AWS Glue, EMR, or DynamoDB.- Experience with dbt (data build tool) for SQL transformations.- Exposure to Generative AI integration, vector databases, or AWS Bedrock. ...
... Spark, AWS (S3, Glue, Redshift, Kinesis), Kafka, Airflow, Python, https://jobeax.com/link/wngoC12EjrRb3nCt Skills : - Strong programming skills in Python for data manipulation and automation.- Hands-on expertise in Apache Spark (PySpark or Spark SQL) for large-scale data processing.- Deep understanding of AWS data ecosystem ...
... robust, scalable, and high-performance data pipelines on AWS.- Develop and maintain ETL workflows using Airflow.- Write efficient and optimized code in Python for data processing and transformation.- Work with SQL to query, manipulate, and analyze large datasets.- Collaborate with cross-functional teams including data scientists, ...
... working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and Cloud Data warehouse like AWS Redshift.- Experience in creating scalable, efficient schema designs to support diverse business needs.- Experience with database normalization, ...
... Senior Data Engineer with strong expertise in Databricks, Apache Airflow, SQL, and Python to design and optimize data pipelines, ETL workflows, and cloud-based data solutions. The ideal candidate will have deep experience in big data processing, cloud-based analytics, and automation to drive efficient and scalable data engineering ...
... Services (AWS) technologies, such as Kinesis, S3, Redshift, Athena, Lambda.- Experience with following aspect of data engineering :1. Building and optimizing big data data pipelines, architectures and data sets.2. Manipulating, processing and extracting value from large, disconnected datasets.3. Development of data pipeline ...
... Science, Engineering, or a related field.- 6-8 years of prior experience in data engineering, with a focus on designing and building data pipelines.- Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift.- Strong programming skills in languages such as Python, Java, or Scala.- Experience with SQL and NoSQL ...
... or similar warehouses)- Integrate ML/AI models into production systems- Lead code reviews, enforce standards, and mentor engineersRequirements :- 10+ years in Data/Software Engineering- Strong in SQL, Python, Spark/PySpark- Hands-on with Google Cloud Platform (BigQuery, GCS, IAM) or any other cloud (AWS/ Azure)- Experience ...