Job Description :

Senior Associate - Data Engineer

About Saras Analytics :

Saras Analytics is a fast-growing data management and predictive analytics company based out of Hyderabad, India. We are a group of engineers and analysts focused on improving business performance through data analysis. We are laser focused on providing the best ROI for our clients and leave no stone unturned in our quest to provide the best results for our customers. We are an employee-centric organization and are looking for individuals who share our passion to make a difference and to be an integral part of our growth.

As a Senior Associate data engineer at Saras Analytics, you will be responsible for building and maintaining large-scale data pipelines as well as create and data pipelines that deal with large volumes of data.

Primary Responsibilities :

- Experience in database programming using multiple aspects of SQL and Python

- Understand and translate data, analytical requirements, and functional needs into technical requirements

- Build, maintain and deploy scalable data pipelines to support large scale data management projects

- Ensure alignment with data strategy and standards of data processing

- Experience in Big Data ecosystem - on-prem (Hortonworks/MapR) or Cloud (Dataproc/EMR/HDInsight)

- Experience in Hadoop, Pig, SQL, Hive, Sqoop and SparkSQL

- Experience in any orchestration/workflow tool such as Airflow/Oozie for scheduling pipelines

- Exposure to latest cloud ETL tools such as Glue/ADF/Dataflow

- Understand and execute in memory distributed computing frameworks like Spark (and/or DataBricks) and its parameter tuning, writing optimized queries in Spark

- Hands-on experience in using Spark Streaming, Kafka and Hbase

- BE/BS/MTech/MS in computer science or equivalent work experience.

Additional Responsibilities :

- Exposure to latest cloud ETL tools such as Glue/ADF/Dataflow is a plus

- Expertise in data structures, distributed computing, manipulating, and analyzing complex high-volume data from variety of internal and external sources

- Experience in building structured and unstructured data pipelines

- Proficient in programming language such as Python/Scala

- Good understanding of data analysis techniques

- Good understanding of in relational/dimensional modelling and ETL concepts

- Understanding of any reporting tools such as Looker, Tableau, Qlikview or PowerBI

Qualifications preferred :

- 4 - 7 years of experience

- Category: Bachelor's Degree, Master's Degree

- Field specialization: Computer Science / IT

- Degree: Bachelor of Engineering - BE, Bachelor of Science - BS, Master of Engineering - MEng, Master of Science - MS

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