221 Redshift Aws Jobs - Page 9

Job Description: 1. Candidate should have good experience in all the functionalities of Dataiku 2. Should have previous exposure handling large data sets using Dataiku and preparing and calculating data. 3. Should be able to write queries to extract and connect from RDBSM/Data lake and any other manual datasets 4. Most importantly, should be able to understand existing developments and take over with minimal handover. 5. Must be expert in Excel as well given all of the information produced in mostly furnished in excel at the right level of detail to the stakeholders for validation and discussions 6. Must have a eye for accuracy ensuring the flows are robust. 7. Banking process knowledge is a...

AWS Data Engineer with hands-on experience in Amazon Redshift and EMR, responsible for building scalable data pipelines and managing big data processing workloads. The role requires strong skills in Spark, Hive, S3 on AWS cloud infrastructure.

Name of Organization: Jarus Technologies (India) Pvt. Ltd. Organization Website: www.jarustech.com Position: Senior Software Engineer - Data warehouse Domain Knowledge: Insurance (Mandatory) Job Type: Permanent Location: Hyderabad - IDA Cherlapally, ECIL and Divyasree Trinity, Hi-Tech City. Experience: 3+ years Education: B. E. / B. Tech. / M. C. A. Resource Availability: Immediately or a maximum period of 30 days. Technical Skills: • Strong knowledge of data warehousing concepts and technologies. • Proficiency in SQL and other database languages. • Experience with ETL tools (e.g., Informatica, Talend, SSIS). • Familiarity with data modelling techniques. • Experience in building dimensional ...

Title: Looker Developer Team: Data Engineering Work Mode: Remote Shift Time: 3:00 PM - 12:00AM IST Contract: 12 months Key Responsibilities Collaborate closely with engineers, architects, business analysts, product owners, and other team members to understand the requirements and develop test strategies. LookML Proficiency: LookML is Looker's proprietary language for defining data models. Looker developers need to be able to write, debug, and maintain LookML code to create and manage data models, explores, and dashboards. Data Modeling Expertise:Understanding how to structure and organize data within Looker is essential. This involves mapping database schemas to LookML, creating views, and d...

Key Responsibilities: Develop & Optimize Data Pipelines Architect, build, and enhance scalable data pipelines for high-performance processing. Troubleshoot & Sustain Identify, diagnose, and resolve data pipeline issues to ensure operational efficiency. Data Architecture & Storage Design efficient data storage and retrieval strategies using Postgres, Redshift, and other databases. CI/CD Pipeline Management Implement and maintain continuous integration and deployment strategies for smooth workflow automation. Scalability & Performance Tuning Ensure the robustness of data solutions while optimizing performance at scale. Collaboration & Leadership Work closely with cross-functional teams to ensu...

Overview: As a Data Engineer, you will work with multiple teams to deliver solutions on the AWS Cloud using core cloud data engineering tools such as Databricks on AWS, AWS Glue, Amazon Redshift, Athena, and other Big Data-related technologies. This role focuses on building the next generation of application-level data platforms and improving recent implementations. Hands-on experience with Apache Spark (PySpark, SparkSQL), Delta Lake, Iceberg, and Databricks is essential. Responsibilities: • Design and develop data lakes, manage data flows that integrate information from various sources into a common data lake platform through an ETL Tool • Code and manage delta lake implementations on S3 u...

Who are we looking for? We are looking for a data bricks engineer (developer), having strong software development experience of 6 to 10 years on Apache Spark & Scala Technical Skills: Strong knowledge & hands-on experience in Apache Spark & Scala Experience in AWS S3, Redshift, EC2 and Lambda services Extensive experience in developing and deploying Bigdata pipelines Experience in Azure data lake Strong hands on in SQL development / Azure SQL and in-depth understanding of optimization and tuning techniques in SQL with Redshift Development in Notebooks (like Jupyter, DataBricks, Zeppelin etc) Development experience in Spark Experience in scripting language like python and any other programmin...

Key responsibilities include: • Ability to maintain and refine straightforward ETL and write secure, stable, testable, maintainable code with minimal defects and automate manual processes. Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quick sight/Power BI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders. Building and owning small to mid-size BI solutions with high accuracy and on time delivery using data sets, queries, reports, dashboards, analyses or components of larger solutions to answer straightforward business questions with data incorporating business intelligence best practices, dat...

Architect and Design: AWS services, ETL processes, Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).Strong programming skills in Python. data modeling, data warehousing, and big data technologies.

Analysis of the Snaplogic Lead Role 1. What does the work look like for someone in this job? As a Snaplogic Lead , your primary responsibilities will include: Designing and developing ETL pipelines using Snaplogic to integrate data across multiple systems. Collaborating with cross-functional teams (technical & non-technical) to ensure smooth data flow between upstream/downstream systems. Optimizing Snaplogic workflows by leveraging its features for performance and efficiency. Working with databases (Redshift, Oracle, or similar) in BI/DW environments. Troubleshooting and resolving technical issues related to data integration. Scripting and automation (Python, Unix) to enhance Snaplogic workf...

Dear Candidate, This is with reference to your profile on the job portal. And got shortlisted in RD1 Deloitte India Consulting has an immediate requirement for the following role. Job Notice period: Looking for immediate 4 Weeks (Max) Location : Any Job Description Skill : AWS Data Engineer Incase if you are interested, please share your updated resume along with the following details.(Mandatory) To smouni@deloitte.com Candidate Name Mobile No. Email ID Skill Total Experience Education Details Current Location Requested location Current Firm Current CTC Exp CTC Notice Period/LWD Feedback Mounika S Consultant| Talent Team

Job Title: Data Engineer Employment Type: Full-time (On-site) Payroll: BCT Consulting Pvt Ltd Work Location: Hyderabad (Work from Office Monday to Friday, General Shift) Experience Required: 5+ Years Joining Mode: Permanent with BCT Consulting Pvt Ltd, deployed at Amazon About the Role: We are seeking a highly skilled and motivated Data Engineer with strong expertise in SQL, Python, Big Data technologies, AWS, Airflow, and Redshift . The ideal candidate will play a key role in building and optimizing data pipelines, ensuring data integrity, and enabling scalable data solutions across the organization. Key Responsibilities: Design, develop, and maintain scalable data pipelines using Python an...

Requirements for the candidate: Data Engineer with a minimum of 7+ years of experience of data engineering experience. The role will require deep knowledge of data engineering techniques to create data pipelines and build data assets. At least 4+ years of Strong hands on programming experience with Pyspark / Python / Boto3 including Python Frameworks, libraries according to python best practices. Strong experience in code optimization using spark SQL and pyspark. Understanding of Code versioning, Git repository, JFrog Artifactory. AWS Architecture knowledge specially on S3, EC2, Lambda, Redshift, CloudFormation etc and able to explain benefits of each Code Refactorization of Legacy Codebase:...

Role & responsibilities

Data Engineer / Data Analyst (Hybrid Role) 10+ Yrs Data Analysis: Pandas, NumPy, SQL, EDA techniques Data Engineering: ETL pipelines, Airflow, Spark Cloud: GCP BigQuery, AWS Redshift Statistical Insight: Ability to assess data quality and completeness GoodTohave: Metadata & Standards: DCAT, schema.org, croissant Zero-Copy Architecture: Real-time data linking without duplication Data engineer, data analyst, Pandas, NumPy, SQL, EDA, Airflow, Spark, GCP, biq query, AWS, redshift

Role: Sr. Data Engineer Location: Bangalore Experience: 4-12 Years About Company The organisation is a global technology consulting and software development firm headquartered in Bangalore, India. It specialises in providing end-to-end solutions in custom software development, enterprise applications, cloud services, and product engineering. It offers a collaborative and growth-oriented work culture, encouraging continuous learning, innovation, and opportunities to work on international projects using the latest technologies. About the role The Data Engineering Lead will be responsible for managing and leading a team of engineers to design, build and maintain data pipelines, data warehouses ...

Role & responsibilities Design, develop, and maintain scalable, reliable, and high-performance data pipelines and ETL processes. Work extensively with AWS cloud services to build secure and optimized data solutions. Leverage PySpark for large-scale data processing and transformation. Collaborate with Data Architects, Analysts, and Business stakeholders to define data requirements and implement effective solutions. Ensure data quality, governance, and compliance across all data systems. Optimize data workflows for performance, scalability, and cost efficiency. Troubleshoot and resolve data pipeline and system issues. Mentor junior engineers and contribute to best practices, code reviews, and ...

Role & responsibilities Key Responsibilities: Coding proficiency in SQL, Python/PySpark AWS Glue , redshift , lambda Data Engineering (Designing ETL Workflows, Understanding on DB Concepts/Architecture, Handling Big Data Volumes) Performance (Measurement, Indexes, Partitioning and Tuning) Data modeling and design Preferred candidate profile Job Description: Job Title: Data Engineer Experience: 5+ Years Location: Hyderabad Job Type: Full-Time

Strong experience using AWS, Appflow, S3,Athena, Lambda, RDS, Event bridge, Lakeformation, Apache, SNS, Cloudformation, Secret manager, Glue and Glue(Pyspark). Proficiency with SQL, Python and Snowflake Strong technical skills in services like Appflow, S3,Athena, Lambda, RDS, Event bridge, Lakeformation, Apache, SNS, Cloudformation, Secret manager, Glue and Glue(Pyspark), SQL, Data Warehousing, Informatica, Oracle Knowledge on Data Warehousing concepts is essential and prior experience in Informatica Power Centre and Oracle Exadata will prove useful. Ability to clearly summarize methodology and key points of program/report in technical documentation/specifications is also required

Job Title: AWS Data Engineer Location: Remote Job Type: Full time Years of Experience- 7-9 years About Straive: Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services: Our Da...

Job Description: Experience in designing, building, and maintaining AWS Cloud Infrastructure. Proficient in AWS services including EC2, S3, RDS, VPC, Redshift, ECS, Route 53, Load Balancers, Auto Scaling, Cost Explorer, and others. Experience setting up ECS/EKS clusters, configuring deployments, and implementing performance-based scaling. Familiar with Docker images, Docker Hub, AMIs, etc. Skilled in automating infrastructure setup using Terraform and CloudFormation. Experience in setting up new environments based on specific landing page requirements and industry best practices. Hands-on experience with AWS IAM, including configuring roles, policies, and user groups. Experience in setting u...