Job Description

We are looking for someone who has a good understanding of the Data Engineering concepts and tools. Someone who will not only look for the solution but will think about efficiency also by aligning data systems with business goals. Should be good team player and Should Be Curious About Learning New Things. Experience: 2 to 4 Years Experience - 2 to 4 Years Experience - 4+ Years Communication - Good, Excellent Budget - 2 to 4 Years - 10 LPA to 14 LPA Budget - 4+ Years - 18 LPA to 20 LPA NP - 1 month/ 15 days. Location - Pune. Working model - Work From Office(compulsory). Skills and Technology - Python, ETL & ELT, AWS, ECR, EMR, Athena, Redshift, Spark, Apache, Airflow, Hadoop. Required Skills Should have good hands on experience in python language Good knowledge of any RDBMS/NoSQL database with strong SQL writing skills Proficient understanding of distributed computing principles Should have excellent database querying skills Should have hands on experience on different data engineering tools like Apache spark, airflow, hive Experience in building ETL/ELT pipelines Strong analytical and problem-solving capability Understanding of the concepts of data warehousing, data quality processes, data warehousing design and implementation, table structure, data modelling, reporting process metadata, and ETL/ELT processes Experience in Building Data pipelines in AWS ( S3, EC2, EMR, Athena, Redshift) is good to have Qualification Bachelor\'s degree in computer science, information technology, or experience in relevant field preferred. 2+ years of experience as a data engineer or in a similar role. Strong communication and presentation skills. Strong analytical and problem-solving skills.

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