1831 Aws Glue Jobs - Page 6

Salary: 15 to 30 LPA Exp: 3 to 8 years Location : Gurgaon/Bangalore/Pune/Chennai Notice: Immediate to 30 days..!! Key Responsibilities & Skillsets: Common Skillsets : 3+ years of experience in analytics, Pyspark, Python, Spark, SQL and associated data engineering jobs. Must have experience with managing and transforming big data sets using pyspark, spark-scala, Numpy pandas Excellent communication & presentation skills Experience in managing Python codes and collaborating with customer on model evolution Good knowledge of data base management and Hadoop/Spark, SQL, HIVE, Python (expertise). Superior analytical and problem solving skills Should be able to work on a problem independently and p...

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500 experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! REQUIREMENTS: Total experience: 6+ years. Excellent knowledge and experience in Big data engineer. Strong working experience with architecture and development in Apache Spark, Python, AWS Glue, Snowflake, SQL Server/NoSQL . Solid understanding of Agile methodo...

Key Points - Must Have: Advanced Java proficient Microservices Spring boot Writing SQL Queries (proficient) AWS 4-5 Yrs in Java, 2-3 exp - Spark Good to have Unix Shell scripting JD Minimum of 8 years of experience in building complex Data Platforms and Data Engineering solutions Minimum of 6 years of hands on experience in architecture and development of data solutions in AWS environment using AWS Services Experience with big data technologies such as: Spark, EMR, Hadoop, Hive, Experience programming with at least one modern language such as Scala, Java, Python Hands on experience on NoSQL DBs like DynamoDB, DocumentDB, MongoDB Hands on experience on implementing AWS Glue, EMR, Lambda funct...

Location - Hyderabad/Bangalore/Gurugram/Pune/Mumbai Work type: Remote but physical onboarding will be conducted & candidate needs to visit office in 3 to 6 month for conference Key Points Must Have Advanced Java proficient- Microservices Spring boot Writing SQL Queries (proficient) AWS 4-5 Yrs in Java, - Spark Good to have Unix Shell scripting JD Minimum of 8 years of experience in building complex Data Platforms and Data Engineering solutions. Minimum of 6 years of hands on experience in architecture and development of data solutions in AWS environment using AWS Services Experience with big data technologies such as: Spark, EMR, Hadoop, Hive, Experience programming with at least one modern ...

ETL SQL, AWS Glue, Snowflake

SUMMARY The Snowflake Data Architect / Snowflake Solution Architect is responsible for lead the design and implementation of scalable, secure, and high-performance data platforms using the Snowflake Data Cloud. The ideal candidate will have strong expertise in enterprise data architecture, dimensional and relational data modelling, performance tuning, and data governance. This role will drive architectural decisions to support analytics, reporting, and real-time business applications. Designing, building, and maintaining robust data systems and infrastructure for Pacific Data Platform . This role involves developing data pipelines, optimizing database performance, and ensuring data integrity...

Looking for a data engineer with strong experience in data modeling, ETL, data warehousing, Big Data tools (Hadoop, Hive, HBase, and Spark), and mandatory skills in Apache Spark, PySpark & Spark SQL.

Role Overview: We are looking for a skilled Database & Data Engineer to design, build, and maintain robust data solutions on AWS . The ideal candidate will have hands-on experience with RDS (Oracle & PostgreSQL) , data lakes , and streaming platforms , ensuring efficient data flow and high availability across systems. Key Responsibilities: Develop and maintain data pipelines using Apache NiFi and Spark for batch and streaming data processing. Manage AWS RDS instances for Oracle and PostgreSQL , including configuration, performance tuning, and troubleshooting. Implement and optimize data lakes on AWS S3 using Apache Iceberg for structured and semi-structured data. Build and manage real-time d...

DATA ENGINEER HYDERABAD Role & responsibilities Demonstrated strength in data modeling, ETL development, and data warehousing Hands-on Experience using big data technologies (Hadoop, Hive, Hbase, Spark, etc.) Apache Spark and Pyspark is mandatory Hands-on Experience using Spark SQL Hands-on Experience using programming language Scala, python, R, or Java (any one) Strong database knowledge Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy Agile development and understanding Preferred candidate profile Experience using business intelligence reporting tools Hands-on Exp...

So, what’s the role all about? Within Actimize, the AI and Analytics Team is developing the next generation advanced analytical cloud platform that will harness the power of data to provide maximum accuracy for our clients’ Financial Crime programs. As part of the PaaS/SaaS development group, you will be responsible for developing this platform for Actimize cloud-based solutions and to work with cutting edge cloud technologies. How will you make an impact? NICE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions & has been consistently ranked as number one in the space At NICE Actimize, we recognize th...

Role Proficiency: This role requires proficiency in data pipeline development including coding and testing data pipelines for ingesting wrangling transforming and joining data from various sources. Must be skilled in ETL tools such as Informatica Glue Databricks and DataProc with coding expertise in Python PySpark and SQL. Works independently and has a deep understanding of data warehousing solutions including Snowflake BigQuery Lakehouse and Delta Lake. Capable of calculating costs and understanding performance issues related to data solutions. Outcomes: Act creatively to develop pipelines and applications by selecting appropriate technical options optimizing application development mainten...

Role Proficiency: This role requires proficiency in data pipeline development including coding and testing data pipelines for ingesting wrangling transforming and joining data from various sources. Must be skilled in ETL tools such as Informatica Glue Databricks and DataProc with coding expertise in Python PySpark and SQL. Works independently and has a deep understanding of data warehousing solutions including Snowflake BigQuery Lakehouse and Delta Lake. Capable of calculating costs and understanding performance issues related to data solutions. Outcomes: Act creatively to develop pipelines and applications by selecting appropriate technical options optimizing application development mainten...

Educational Requirements Bachelor of Engineering, BTech, BCA, MTech, MCA ,B.Sc, M.SC Job description Full Stack Data Engineer- AWS Mandatory Skills: AWS,GAWS Glue ETL,Python/SQL Responsibilities A day in the life of an InfoscionAs part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code r...

Preferred Skills Experience with cloud data platforms such as AWS , GCP , or Azure Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB, etc.) Understanding of CI/CD, version control, and DevOps best practices Exposure to data modeling and data warehousing concepts Responsibilities Design, build, and maintain scalable data pipelines Work with large datasets using Spark, Hive, and distributed computing frameworks Collaborate with cross-functional teams to translate business requirements into data solutions Optimize SQL queries and ensure data quality, performance, and reliability Manage workflow orchestration using Airflow Implement data ingestion from multiple structured and unstructur...

We are seeking a highly skilled Senior Lead Data Engineer to join our R&D Data Engineering Team. In this role, you will be a key player in shaping the architecture and technical direction of our data platform, ensuring that it meets the evolving needs of the business while adhering to best practices and industry standards. If you're looking for an opportunity to combine your technical skills with strategic thinking and make a real difference, we want to hear from you. About You experience, education, skills, and accomplishments: Bachelors Degree or equivalent At least 7 years of Relevant Experience At least 5+ Years in Software Development: Demonstrated experience in software development, wi...

Key Responsibilities Technical Leadership & Project Execution Provide technical thought leadership, compare different technologies to meet business requirements and cost control drivers. Work with Business and IT groups to design and deliver a data lake platform. Produce & maintain the overall solution design for the entire Data Lake Platform. Execution of data strategy, help in the design and architecture of solutions on the platform Enforce technical best practices for Big Data management and solutions, from software selection to technical architectures and implementation processes. Document and publish best practices, guidelines, and training information. Ensures all functional solutions ...

Role: AWS Data Engineer Exp: 8+ Years Location: Pune/Gurugram/Bangalore/Hyderabad (Hybrid) Key Responsibilities: Understand and translate business needs into data models supporting long-term solutions. Perform reverse engineering of physical data models from databases and SQL scripts. Analyze data-related system integration challenges and propose appropriate solutions. Assist with and support setting the data architecture direction (including data movement approach, architecture/technology strategy, and any other data-related considerations to ensure business value) Responsibilities for Internal Candidates Design and implement data pipelines, Optimize data processing and storage, Ensure data...

Role & responsibilities WHAT YOU'LL BRING: Writes clean, maintainable, testable, extensible Python code (ideally with type hints, linters, and tests like pytest) Understands data engineering basics: batch processing, schema evolution, and building ETL pipelines Has experience with or is eager to learn Apache Spark for large-scale data processing Is familiar with the AWS data stack (e.g. S3, Glue, Lambda, EMR) Strong experience in relational databases (e.g. Aurora PostgreSQL) Enjoys learning the business context and working closely with stakeholders Works well in Agile teams and values collaboration over solo heroics. NICE TO HAVES: Its great (but not required) if you also bring: Experience w...

As the Data Team Lead, you will play a crucial role in driving the strategy, governance, and operational excellence of the enterprise data platform. Your responsibilities will include: - Leading and managing vendor Data Engineering and Architecture teams, allocating tasks and planning resources effectively. - Acting as the primary owner of the Data Platform strategy and roadmap. - Overseeing Data Platform reporting activities such as system go-lives, KPI tracking, usage insights, and FinOps monitoring. - Serving as the subject matter expert for the Data Platform ecosystem, including Snowflake, AWS, Glue, etc. - Defining and evolving the long-term platform strategy in alignment with business ...

As a skilled Data Engineer with strong experience in Python, Snowflake, and AWS, your role will involve building and optimizing scalable data pipelines, integrating diverse data sources, and supporting analytics and business intelligence solutions in a cloud environment. A key focus will include designing and managing AWS Glue Jobs and enabling efficient, serverless ETL workflows. - Design and implement robust data pipelines using AWS Glue, Lambda, and Python. - Work extensively with Snowflake for data warehousing, modelling, and analytics support. - Manage ETL/ELT jobs using AWS Glue and ensure end-to-end data reliability. - Migrate data between CRM systems, especially from Snowflake to Sal...

You are seeking a highly skilled and visionary Senior Integration & Data Engineering Lead to architect and deliver cloud-native, API-first solutions that power enterprise-scale digital transformation. The ideal candidate will bring deep expertise in Boomi, event-driven architectures, Kafka, AWS, AWS Glue, and modern ETL tools such as Informatica, Matillion, or IICS, along with strong proficiency in Snowflake and Python. Key Responsibilities - Design and Lead the development of API-first, modular integration solutions using Boomi and Kafka. - Design and implement scalable, cloud-native data pipelines using AWS Glue, Snowflake, and modern ETL platforms. - Collaborate with enterprise architects...

Looking for a Data Engineer with strong skills in Python, PySpark, SQL, AWS Glue, Lambda, Redshift, Dynamo/NoSQL DB, EC2, SNS, Step Functions/Airflow, CloudWatch and EMR to build, optimize and manage scalable data pipelines.

Role & responsibilities AWS Data Engineer Location - Hyderabad Experience - 5+years Shift - 12.30 PM - 9.30 PM IST (Flexible) Work Mode - Hybrid (Mon & Fri - WFH) Interview process - 2-3Technical Rounds Key Skills Required .Streaming tools - Kafka/Kinesis/ Spark, .AWS Services - S3, Airflow, Glue, DMS, EMR .Programming: Python .Infrastructure as code - Terraform .Databases - Oracle, AWS Redshift .SQL Tuning & ETL Optimization .Monitoring tools - Splunk, Datadog, CloudWatch .AWS Certification (Preferred)

Design, develop, and optimize data ingestion, transformation, and storage pipelines on AWS Manage and process large-scale structured, semi-structured, and unstructured datasets efficiently Build and maintain ETL/ELT workflows using AWS native tools such as Glue, Lambda, EMR, and Step Functions Design and implement scalable data architectures leveraging Python, PySpark, and Apache Spark Develop and maintain data models and ensure alignment with business and analytical requirements Work closely with stakeholders, data scientists, and business analysts to ensure data availability, reliability, and quality Handle on-premises and cloud data warehouse databases and optimize performance Stay update...

Role & responsibilities Minimum 4 years of overall experience in data engineering and 2+ years leading a team as team lead and doing project management. Experience working with a global team and remote clients. Hands on experience in building data pipelines on various infrastructures. Knowledge of statistical and machine learning techniques. Hands on experience in integrating machine learning in data pipelines. Ability to work hands-on with the data engineers in the team in design and development of the solution using the relevant big data technologies and data warehouse concepts Strong knowledge of advanced SQL, data warehousing concepts, DataMart designing. Have strong experience in modern...