Director of Engineering

R&D Skills

Team work and Communication skills (verbal and written)

Acceptance and steadiness under pressure

Showing responsibility and daily reporting

Problem solving and decision-making skills

Creative and innovative ideas

Quality of work and timelines

Bug free development and code quality

ROR Hiring Alert...!

NeoSOFT Pvt Ltd. (A CMMi Level 5 Organization) has an excellent opportunity for ROR Developers.

Eligibility Criteria:
- 1 to 7 years of experience in working with ROR.
- Strong Database fundamentals.
- Excellent written and verbal communication.
- Proven experience in developing Web applications.
- Experience in working with cloud will be added advantage.

Location:-  Mumbai/Pune/Ahmedabad/Noida/Indore

• Be part of the CS Strategy & Operations team that strives to make a difference.
• Assimilate data and analytics to create daily, weekly, monthly and quarterly reports.
• Analyze reports to detect problems during data collection and help review data that has been collected.
• Monitor data to identify trends and anomalies that might showcase abnormal behavior.
• Interpret data, develop dashboards and reports.
• Generate and share routine/ ad-hoc reports as required.
• Work with team members to drive CS processes.
• Monitor, update, and drive implementation of MIS reports.

Our ideal candidate:

• Experience of 2-3 years in a high-transaction MIS environment.
• Knowledge of Google Sheets / Excel (vLookup, pivot table, charts, and adept in trend Metrics)
• Strong knowledge of Power BI, SQL, Data Studio
• Good written and verbal communication.
• Willingness to learn new things and is able to quickly deploy them.
• Is an empathetic team player.

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification