Job Description

About TredenceTredence is a global analytics services and solutions company. We are one of the fastest growing private companies in the country for three straight years according to the Inc. 5000 and we continue to set ourselves apart from our competitors by attracting the greatest talent in the data analytics and data science space. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in building Scalable Big Data Solutions on Onprem/GCP/Azure cloud in a very cost effective and easily scalable manner for our clients. We also come in with some strong IP and pre-built analytics solutions in data mining, BI and Big Data.Job SummaryRoles & Responsibilities for Support Data Engineer

• Should be willing to work in the support related projects and should be able to handle working on multiple projects.

• Develop and maintain 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.

• Should be able to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.

• Build and maintain 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 datarelated technical issues and support their data infrastructure needs.

• Work with data and analytics experts to strive for greater functionality in our data systems.

Job LocationBangalore/Pune/Gurgaon/Chennai/KolkataRoles & Responsibilities

• We are looking for a candidate with 4+ 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:

• Experience with relational SQL, Snowflake and NoSQL databases (good to have: including Postgres and Cassandra)

• Experience with data pipeline and workflow management tools: Airflow, etc.

• Experience with cloud service: Azure (RDBMS, Data bricks, ADF) (AWS / GCP will also work if foundation is solid \xe2\x86\x92 cloud services: EC2, EMR, RDS, Redshift)

• Experience with object-oriented/object function scripting languages: Python (Good to have: Java, C++, Scala, etc.)

• Advanced working SQL knowledge and experience working with relational databases, writing scalable queries, performance tuning, query authoring (SQL) as well as working familiarity with a variety of databases. Should be able to write and analyze stored procedures, views, triggers etc.

• Should have experience in building and working with Data pipelines (DE)

• Good to have: project management and organizational skills; Experience supporting and working with cross-functional teams in a dynamic environment

Qualification & ExperienceWhy Join Tredence?There is a reason we are one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest and fun-loving people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our clients, some of the largest and most innovative businesses in the world. Our people are our greatest asset and we value every one of them. Come see why we're so successful in one of the most competitive and fastest growing industries in the world.

Tredence