Sigma HR Solutions has embraced the establishment in the year 2011. And exist with the Group of Professionals from varied Industries with vast Technical & Managerial experience . The Extreme Efforts and Hard work of qualified team members , Sigma HR Solutions consultancy earn a name of repute consultant in IT, NON IT and BPO.
Mission	
To give our Clients to get the competitive edge by, Recruiting high potential manpower.
Developing and continuing professional relationships.
Build organizations by providing them, the best human resources available.
Assist individuals in realizing their true potential by identifying for them challenging opportunities.

Manpower Search :-
We enter the shoe of our clients and hunt for the right executive. Our search does not end in just fulfilling the requirement, but satisfying our clients by giving right person for the right job. We do a vast research on the recruitment requisition, job description and criteria provided, not only by using our search criteria. 

Manpower Selection:-
We believe in quality wise recruitment not quantity wise. We work with small, medium and large organizations and those who look at establishing themselves in the up-coming markets

Contact Us @
7385592067 /  7620778318

Sigma HR Solutions

<div>Data Engineer</div><div><br></div><div>Mandatory Requirements&nbsp;:</div><div><br></div><div> Experience in AWS Glue</div><div> Experience in Apache Parquet&nbsp;</div><div> Proficient in AWS S3 and data lake&nbsp;</div><div> Knowledge of Snowflake</div><div> Understanding of file-based ingestion best practices.</div><div> Scripting language - Python &amp;amp; pyspark</div><div>&nbsp;</div><div>CORE RESPONSIBILITIES:</div><div><br></div><div> Create and manage cloud resources in AWS&nbsp;</div><div> Data ingestion from different data sources which exposes data using different technologies,</div><div>such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various</div><div>proprietary systems. Implement data ingestion and processing with the help of Big Data</div><div>technologies&nbsp;</div><div> Data processing/transformation using various technologies such as Spark and Cloud Services.</div><div>You will need to understand your part of business logic and implement it using the language</div><div>supported by the base data platform&nbsp;</div><div> Develop automated data quality check to make sure right data enters the platform and</div><div>verifying the results of the calculations&nbsp;</div><div> Develop an infrastructure to collect, transform, combine and publish/distribute customer</div><div>data.</div><div> Define process improvement opportunities to optimize data collection, insights and displays.</div><div> Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible&nbsp;</div><div> Identify and interpret trends and patterns from complex data sets&nbsp;</div><div> Construct a framework utilizing data visualization tools and techniques to present</div><div>consolidated analytical and actionable results to relevant stakeholders.&nbsp;</div><div> Key participant in regular Scrum ceremonies with the agile teams&nbsp;&nbsp;</div><div> Proficient at developing queries, writing reports and presenting findings&nbsp;</div><div> Mentor junior members and bring best industry practices&nbsp;</div><div>&nbsp;</div><div>QUALIFICATIONS:</div><div><br></div><div> 5-7+ years’ experience as data engineer in consumer finance or equivalent industry</div><div>(consumer loans, collections, servicing, optional product, and insurance sales)&nbsp;</div><div> Strong background in math, statistics, computer science, data science or related discipline</div><div> Advanced knowledge one of language: Java, Scala, Python, C#&nbsp;</div><div> Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web</div><div>Services (AWS), Docker / Kubernetes, Snowflake&nbsp;&nbsp;</div><div> Proficient with</div><div> Data mining/programming tools (e.g. SAS, SQL, R, Python)</div><div> Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)</div><div> Data visualization (e.g. Tableau, Looker, MicroStrategy)</div><div> Comfortable learning about and deploying new technologies and tools.&nbsp;</div><div> Organizational skills and the ability to handle multiple projects and priorities simultaneously</div><div>and meet established deadlines.&nbsp;</div><div> Good written and oral communication skills and ability to present results to non-technical</div><div>audiences&nbsp;</div><div> Knowledge of business intelligence and analytical tools, technologies and techniques.</div><div>&nbsp;</div><div>Familiarity and experience in the following is a plus:&nbsp;</div><div> AWS certification</div><div> Spark Streaming&nbsp;</div><div> Kafka Streaming / Kafka Connect&nbsp;</div><div> ELK Stack&nbsp;</div><div> Cassandra / MongoDB&nbsp;</div><div><br></div><div>CI/CD: Jenkins, GitLab, Jira, Confluence other related tools</div>