Data Engineer

4 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Company Description Innovatics helps businesses conquer their toughest challenges with advanced analytics and AI. Specializing in transformation and human-centered experiences, Innovatics turns complexity into clarity and uncertainties into data-driven opportunities. Our team of passionate data analytics and AI consultants work across the USA, Australia, Canada, and India to deliver tangible results. We provide seamless end-to-end data analytics, data strategy, data engineering, and AI consulting services. Role Description This is a full-time, on-site role for a Data Engineer located in Ahmedabad. The Data Engineer will be responsible for designing, implementing, and managing data pipelines, building and maintaining data warehousing solutions, and ensuring efficient ETL processes. The role also involves data modeling, performing data analytics, and collaborating with team members to deliver data-driven solutions and insights to support business decisions. Qualifications Skills in Data Engineering and Data Modeling Experience with Extract, Transform, Load (ETL) processes Proficiency in Data Warehousing Knowledge of Data Analytics Strong problem-solving and analytical skills Excellent communication and teamwork abilities Bachelor's degree in Computer Science, Information Technology, or a related field Experience in the AI and advanced analytics field is a plus Technical Skills: 4+ years of experience in a Data Engineer role, Experience with object-oriented/object function scripting languages: Python, Scala, Golang, Java, etc. Experience with Big data tools such as Spark, Hadoop/ Kafka/ Airflow/Hive Experience with Streaming data: Spark/Kinesis/Kafka/Pubsub/Event Hub Experience with GCP/Azure data factory/AWS Strong in SQL Scripting Experience with ETL tools Knowledge of Snowflake Data Warehouse Knowledge of Orchestration frameworks: Airflow/Luig Good to have knowledge of Data Quality Management frameworks Good to have knowledge of Master Data Management Self-learning abilities are a must Familiarity with upcoming new technologies is a strong plus. Should have a bachelor's degree in big data analytics, computer engineering, or a related field Show more Show less

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