Sigmoid Analytics

**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