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Role: AWS Data Engineer – Lead Consultant (Asian Shift )

Location: India

About Lingaro

:Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data

.Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team

.
About Data Engineering Competency Cente

r:Data engineering involves the development of solutions for the collection, transformation, storage and management of data to support data-driven decision making and enable efficient data analysis by end users. It focuses on the technical aspects of data processing, integration, and delivery to ensure that data is accurate, reliable, and accessible in a timely manner.It also focuses on the scalability, cost-effectiveness, security, and supportability of the solution. Data engineering encompasses multiple toolsets and architectural concepts across on-premises and cloud stacks, including but not limited to data warehousing, data lakes, lake house, data mesh, and includes extraction, ingestion, and synchronization of structured and unstructured data across the data ecosystem. It also includes processing organization and orchestration, as well as performance optimization of data processin

g.Websit

e:https://lingarogroup.co

m/Requirement

• s:Bachelor’s degree or equivalent in Computer Science, Software Engineering, Information Systems, or related fiel
• d.Good written and verbal communication skills (Englis
• h)5+ years of working experience in building and supporting big data solutio
• nsStrong experience in design, develop/coding, Implement and delivering robust and sustainable both streaming and batch big data solutions built on (AWS) clo
• udStrong knowledge of Data Warehouse concepts and Schema modeli
• ngStrong technical expertise with SQL and NoSQL databases and data mapping, as well as ETL tools (AWS cloud native tool preferred
• ).Strong developer experience in AWS Big Data technologies: S3, Redshift, Glue, Glue PySpark, Athena, EMR, Kinesis, Lamb
• daStrong developer experience in Open-Source Big Data technologies: Apache Spark, Hadoop, HDFS, HIVE or pres
• toStrong coding skills in Python, PySpark, Pandas, Boto3, SQL, JS
• ONStrong troubleshooting skills of big data platforms and data intensive workload (strong SQL query building skill
• s)Background in DataO
• psGOOD TO HAVE: knowledge of AWS technologies like API Gateway, SNS, AWS security, CloudFormation, node.js, serverless framework, AWS networking, Power-BI Data Visualization Tool. Experience in Azure or GCP as secondary cloud computing skil
• l.ADVANTAGES: Bash Shell Scripting, DevOps / CICD GitHub, Git Actions, Agile Information Sensitivity: GeneralIntern
• alCandidate should be able to design, configure, and manage databases to ensure optimal performance and reliabilit
• y.Experience with data integration tools and techniques, such as ETL and ELT Candidate should be able to integrate data from multiple sources and transform it into a format that is suitable for analysi

s.
Tasks: The Data Engineer’s role is expected to build a scalable platform to collect, enrich C activate data across multiple channels to deliver data driven marketing. The Data Engineer will collaborate with business and senior technology associates to define the requirements for the data C analytics projects and develop solutions that will enable marketers to efficiently build and use platforms C services that enable data ingestion, enrichment, and activati

• on.
  Play a key role in collecting, transforming, curating, and serving data via big data solut
• ionsDeliver actionable insights via reporting t
• oolsWork on a reusable and scalable promotion platform with other team mem
• bersWork with marketers, data/business analysts to understand marketing challenges, business questions, processes
• etc.Using Agile and Dev/Ops methods, build solutions utilizing technologies including AWS, Power BI C Adobe suite (AEP C ecosyst
• em).articipate in cross-functional teams to promote technology strategies, analyze, test products, perform proofs-of-concept, and pilot new technologies and/or meth
• ods.Establish and document standards, guidelines, and best practices for teams utilizing the soluti
• ons.Keep current on industry best practices and products that can be leveraged to support the company’s business object

ives
Why join

• us:
  Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global
• sites.100% r
• emote.Flexibility regarding working
• hours.Full-time po
• sitionComprehensive online onboarding program with a “Buddy” from
• day 1.Cooperation with top-tier engineers and ex
• perts.Unlimited access to the Udemy learning platform from
• day 1.Certificate training programs. Lingarians earn 500+ technology certificates y
• early.Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities y
• early.Grow as we grow as a company. 76% of our managers are internal promo
• tions.A diverse, inclusive, and values-driven comm
• unity.Autonomy to choose the way you work. We trust your
• ideas.Create our community together. Refer your friends to receive bo
• nuses.Activities to support your well-being and h
• ealth.Plenty of opportunities to donate to charities and support the enviro

nment.