Pipeline Engineer Salary in Noida - PayScale

DESCRIPTIONAmazon data engineering cross border and expansions team is looking for an engineer who can build, enhance and maintain the underlying end to end data platforms for Amazon MENA business (AE,SA,EGY locales). Primary Responsibility:• Strong knowledge & exposure on DWH concepts & methodologies, the new world of Data Lake• To communicate effectively with business for the projects. • Understanding of relational and non-relational databases like Mysql, SQL, Redshift, Vertica etc• Data Migration & Validation experience between multiple sources• Knowledge of best coding practices• Proficient in SQL writing• Hands on experience on ETL tools like Pentaho Data Integration, Informatica, Matillion etc is an additional advantage• Strong design concepts to implement end to end solutions• Knowledge on AWS cloud based technologies is an additional advantage• Innovator, learner and a developer by heart• Knowledge on languages like java, Python, javascript. Hands on experience on shell scripting and unix commands• Experience in writing Unit test cases for data quality• Customer Obsession & capable of delivering results in dynamic environment.• Able to dive deeply into technical details (e.g., key dependencies, design choices, operability, etc.) and drive a constructive technical discussion. We are open to hiring candidates to work out of one of the following locations:Noida, UP, INDBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelinesPREFERRED QUALIFICATIONS- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Req ID: NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward:thinking organization, apply now.We are currently seeking a Digital Engineering Lead Engineer to join our team in Noida, Uttar Pradesh (IN:UP), India (IN).Preferred Experience::Solid understanding of cloud computing, networking, and storage principleswith focus on either Azure or AWS:Cloud administration, maintenance, and troubleshooting experience. Willing to work on multiple cloud platforms:Exposure to container deployments and container orchestration tools:Basic experience with OS patching and ability to troubleshoot server issues :Strong scripting skills. Experience in IaC and automated deployments using Azure/AWS pipelines orTerraform is a plus:Able to work on On:Call rotationsand provide shift hours support at L2 level:Able to work independently in a project scenario and do POCs:Experience in updating KB articles, Problem Management articles, and SOPs/Run:books:Passion for delivering timely and outstanding customer service:Able to Help Level 1 staff in support:Great written and oral communication skills with internal and external customersBasic Qualifications:stylemargin:bottom:16.0px::5+ years of overall operational experience:4+years of Azure/AWS experience:3+ years of experience working in a diverse cloud support environment in a 24*7 production support model:1+ yearsDevOps/scripting/APIs experiencePreferred Certifications::Azure Administrator Associate:AWS SysOps Administrator/Developer AssociateFour Year BS/BA in Information Technology degree or equivalent experienceAbout NTT DATA ServicesNTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a 30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge:to:cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long:term success. Visit nttdata or LinkedIn to learn more.NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.

Who we areBrightly, a Siemens company, is the global leader in intelligent asset management solutions. Brightly enables organizations to transform the performance of their assets with a sophisticated cloud-based platform that leverages more than 20 years of data to deliver predictive insights that help users through the key phases of the entire asset lifecycle. More than 12,000 clients of every size worldwide depend on Brightly's complete suite of intuitive software - including CMMS, EAM, Strategic Asset Management, IoT Remote Monitoring, Sustainability and Community Engagement. Paired with award-winning training, support and consulting services, Brightly helps light the way to a bright future with smarter assets and sustainable.What you need• BS in an Engineering or Science discipline, or equivalent experience• 7+ years of software/data engineering experience using Java, Scala, and/or Python, with at least 5 years experience in a data focused role• Experience in data integration (ETL/ELT) development using multiple languages (e.g., Java, Scala, Python, PySpark, SparkSQL) • Experience building and maintaining data pipelines supporting a variety of integration patterns (batch, replication/CDC, event streaming) and data lake/warehouse in production environments• Experience with AWS-based data services technologies (e.g., Kinesis, Glue, RDS, Athena, etc.) and Snowflake CDW• Experience of working in the larger initiatives building and rationalizing large scale data environments with a large variety of data pipelines, possibly with internal and external partner integrations, would be a plus• Willingness to experiment and learn new approaches and technology applications• Knowledge and experience with various relational databases and demonstrable proficiency in SQL and supporting analytics uses and users• Knowledge of software engineering and agile development best practices• Excellent written and verbal communication skills...LessSalary: . Date posted: 04/15/2024 08:42 PM