Specialist - Data Engineering
Job Title : Specialist - Data Engineering
Location : Mumbai/Pune/Chennai/Hyderabad/Bangalore
Experience : 4 to 12 years
Skills : Airflow, AWS Glue, S3, AWS EMR, AWS Redshift, Pyspark or Python
Job Description :
- Technical expertise with data models, data mining. Hands on Knowledge of programming languagesin Java, Python(mandatory). Strong knowledge in the Big data tools such as AWS Redshift (mandatory), Hadoop, map reduce etc.
- Having knowledge in tools like Airflow, AWS Glue, S3, AWS EMR, Streaming data pipelines, Kafka/Kinesis is desirable.
- Hands on knowledge in SQL and No-SQL database design.
- Having knowledge in CI/CD for the building and hosting the solutions.
- Having AWS certification is an added advantage.
- Having Strong knowledge in visualization tools like Tableau, QlikView is an added advantage
- A team player capable of working and integrating across cross-functional team for implementing project requirements. Experience in technical requirements gathering and documentation.
- Ability to work effectively and independently in a fast-paced agile environment with tight deadlines
- A flexible, pragmatic and collaborative team player with innate ability to engage with data architects, analysts and scientists.
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LTIMindtree is a global technology consulting and digital solutions LTIMindtree company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by more than 90,000 talented and entrepreneurial professionals across 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile L&T Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale.
For more, please visit www.ltimindtree.com.
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