Data Engineers required ASAP in Chennai, India - Jobeax
Vacancy description
Data Engineers required ASAP in Chennai, India
letzbizz
Full-timeStandard weekly hours
India, Chennai
Data Engineers required ASAP in Chennai, India is listed on Jobeax. Browse 30,000+ vacancies available.
Data Engineer – Chennai Experience: 3+ Years Immediate joiners preferred (or less than 20 days) Work Mode: Full-Time We are seeking highly skilled and experienced Senior Data Engineers with a deep understanding of data architecture, Big Data technologies, and large-scale data processing. The ideal candidate must have a strong technical background, extensive hands-on experience, and excellent communication skills to collaborate with cross-functional teams. Experience with big data tools: Experience with relational SQL and NoSQL databases, including MongoDB, Postgres and Cassandra, AWS Redshift, Snowflake Experience with data pipeline and workflow management tools: Experience with AWS cloud services: EC2, EMR, ETL, Glue, RDS, Redshift Experience with stream-processing systems: Experience with object-oriented/object function scripting languages: Python, Java, etc. Knowledge of data pipelines and workflow management tools like Airflow Responsibilities For Data Engineer Create and maintain the optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders, including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Keep our data separated and secure across national boundaries through multiple data centres and AWS regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Qualifications For Data Engineer We are looking for a candidate with 3+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing 'big data' data pipelines, architectures and data sets. Experience performing root cause analysis of internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured data sets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores. Strong project management and organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment. Experience with big data tools: Experience with relational SQL and NoSQL databases, including MongoDB, Postgres and Cassandra, AWS Redshift, Snowflake Experience with data pipeline and workflow management tools: Experience with AWS cloud services: EC2, EMR, ETL, Glue, RDS, Redshift Experience with stream-processing systems: Experience with object-oriented/object-function scripting languages: Python, Java, etc. Knowledge of data pipelines and workflow management tools like Airflow Hiring #SeniorDataEngineer #BigData #ChennaiJobs #ETL #AWS #SQL #DataPipelines #DataEngineering #Python #Java #Kafka #Hadoop #MachineLearning
... Building data for ML: feature pipelines, training datasets, serving consistency dbt or similar transformation/modeling frameworks Docker, Terraform/IaC, CI/CD for data IoT, energy, or industrial sector experience. Not required, but it compresses your ramp Qualifications - https://jobeax.com/link/2DENLGgQM7whDhaE / B.E. / B.S. ...
... Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ...
... generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Large Language Models (LLMs) Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education As a Data ...
... generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Data Engineering Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education As a Data Engineer, a typical ...
CONTRACT TO HIRE ( 6 MONTHS OF CONTRACT THEN WILL CONVERT TO FULL TIME ) NEED ASAP ( START DATE 1st September) Data Engineer About the Role: As a Data Engineer, you'll design, build, and scale the data systems that analysts, business leaders, and products rely on every day. You'll work at the intersection of engineering ...
... in end-to-end data transformation and pipeline development Detailed Job Description Mandatory Technical Skills: Snowflake Data Warehouse Python Scripting DBT (Data Build Tool) Apache Airflow Advanced SQL End-to-End ETL/ELT & Data Pipeline Development Key Requirements Strong hands-on experience in Snowflake data warehousing ...
At Visteon, the work we do is both relevant and recognized —not just by our organization, but by our peers, by industry-leading brands, and by millions of drivers around the world.
... in regulated industries (Pharma, Life Sciences, Banking). Design, build, and maintain scalable data pipelines supporting AI and GenAI use cases Work on modern data platforms (data lakes, lakehouse, streaming, Event hub like Kafka, containers, K8s) Enable high-quality, compliant data for analytics, ML, and GenAI workloads ...
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VARITE is looking for a Product Designer for one of its clients located in Bangalore . If you are interested in this opportunity, kindly respond ASAP with your updated resume or apply here. We will be glad to represent you to our client and help in your job search. Client is a multinational company that produces financial ...
... mindset keen to drive your own personal and professional development. Required Skills and Experience Python: Strong Python skills for developing and maintaining data pipelines writes clean, efficient, and testable code. Data Engineering: Experience with data pipelines, ingestion processes, SQL, and data modeling. AWS: Hands-on ...
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... to the success of these projects. - Use your strong command of People (HR) systems to independently diagnose and solve moderately complex problems related to data, reporting, and system processes. Define and implement process improvements that measurably increase team efficiency and data quality. - Act as a fully accountable ...
... Handle customer queries and objections professionally. - Maintain good customer relationships. - Explain products/services clearly and professionally. Skill(s) required Sales Earn certifications in these skills Who can apply Only those candidates can apply who: 1. have minimum 1 years of experience Other requirements - 0–3 ...
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... networking: Comfort with Linux networking stacks, concurrency, and debugging in multi-threaded or event-driven architectures. At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We've been innovating fearlessly for 40 years to create solutions that power ...