Sigmoid Analytics

4 days ago


Bengaluru Karnataka, India 2020Technologies Full time

**Hiring Criteria** - Strong Big Data Engineer Profile (Java) - Mandatory (Experience 1) - Must Have a Minimum 3-6 YOE in Software Development - Mandatory (Experience 2) - Must have experience (Current or Past) working with services company - Mandatory (Core Skill 1) - Must have 2 years of recent project experience in Java - Mandatory (Core Skill 2) - Experience in Data / BigData Engineering Technologies anyone (e.g.Hadoop, HBase, HDFS, Airflow, Spark, Kafka, AWS, Kinesis, AWS Glue, AWS Data Lake, AWS Lambda, AWS Redshift, Azure Data Factory, Azure Data Lake Analytics, Azure - Google Cloud Data Engineering Technologies Google Cloud BigQuery, Google Cloud DataFlow, Google Cloud DataLab, Google Cloud Dataplex, Google Cloud DataProc etc) - Highly Preferred (Core Skill 3) - Must have experience in any one - Spring or Springboot - Mandatory (Education) - BE / BTech / (BCA+MCA) - Highly Preferable (Company) - Services. Role & Responsibilities **Good development practices: - ** - Hands on coder with good experience in programming languages like Java or Python. - Hands-on experience on the Big Data stack like PySpark, Hbase, Hadoop, Mapreduce and ElasticSearch. - Good understanding of programming principles and development practices like checkin policy, unit testing, code deployment - Self starter to be able to grasp new concepts and technology and translate them into large scale engineering developments - Excellent experience in Application development and support, integration development and data management. **Align Sigmoid with key Client initiatives: - ** - Interface daily with customers across leading Fortune 500 companies to understand strategic requirements. **Stay up-to-date on the latest technology to ensure the greatest ROI for customer & Sigmoid** - Hands on coder with good understanding on enterprise level code. - Design and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems. - Experience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment. **Culture** - Must be a strategic thinker with the ability to think unconventional / out:of:box. - Analytical and data driven orientation. - Raw intellect, talent and energy are critical. **Entrepreneurial and Agile**: - understands the demands of a private, high growth company. - Ability to be both a leader and hands on "doer". - Years of track record of relevant work experience and a computer Science or related technical discipline is required. - Experience with functional and object-oriented programming, Java or Python is a must. - hand-On knowledge in Map Reduce, Hadoop, PySpark, Hbase and ElasticSearch. - Effective communication skills (both written and verbal). - Ability to collaborate with a diverse set of engineers, data scientists and product managers. - Comfort in a fast-paced start-up environment. **Preferred Qualification**: - Technical knowledge in Map Reduce, Hadoop & GCS Stack a plus. - Experience in agile methodology. - Experience with database modeling and development, data mining and warehousing. - Experience working with large, complex data sets from a variety of sources. **Salary**: ₹1,500,000.00 - ₹2,000,000.00 per year Schedule: - Day shift Application Question(s): - what's your current ctc? - what's your current location? **Experience**: - java developer: 3 years (required) Work Location: In person


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