Data Engineer

Role Description

This is a full-time hybrid role as a GCP Data Engineer,. As a GCP Data Engineer, you will be responsible for managing large sets of structured and unstructured data and developing processes to convert data into insights, information, and knowledge.

Skill Name: GCP Data Engineer

Experience: 7-10 years

Notice Period: 0-15 days

Location :-Pune

If you have a passion for data engineering and possess the following , we would love to hear from you:

🔹 7 to 10 years of experience working on Software Development Life Cycle (SDLC)

🔹 At least 4+ years of experience in Google Cloud platform, with a focus on Big Query

🔹 Proficiency in Java and Python, along with experience in Google Cloud SDK & API Scripting

🔹 Experience in the Finance/Revenue domain would be considered an added advantage

🔹 Familiarity with GCP Migration activities and the DBT Tool would also be beneficial

You will play a crucial role in developing and maintaining our data infrastructure on the Google Cloud platform.

Your expertise in SDLC, Big Query, Java, Python, and Google Cloud SDK & API Scripting will be instrumental in ensuring the smooth operation of our data systems..

Join our dynamic team and contribute to our mission of harnessing the power of data to make informed business decisions.

Designation: Senior - DBA

Experience: 6-9 years

CTC: INR 17-20 LPA

Night Allowance: INR 800/Night

Location: Hyderabad,Hybrid

Notice Period: NA

Shift Timing : 6:30 pm to 3:30 am

Openings: 3

Roles and Responsibilities:

As a Senior Database Administrator is responsible for the physical design development

administration and optimization of properly engineered database systems to meet agreed

business and technical requirements.

The candidate will work as part of but not limited to the Onsite/Offsite DBA

group-Administration and management of databases in Dev Stage and Production

environments

Performance tuning of database schema stored procedures etc.

Providing technical input on the setup configuration of database servers and SAN disk

subsystem on all database servers.

Troubleshooting and handling all database related issues and tracking them through to

resolution.

Pro-active monitoring of databases both from a performance and capacity management

perspective.

Performing database maintenance activities such as backup/recovery rebuilding and

reorganizing indexes.

Ensuring that all database releases are properly assessed and measured from a

functionality and performance perspective.

Ensuring that all databases are up to date with the latest service packs patches &

security fixes.

Take ownership and ensure high quality timely delivery of projects on hand.

Collaborate with application/database developers quality assurance and

operations/support staff

Will help manage large high transaction rate SQL Server production

Eligibility:

Bachelors/Master Degree (BE/BTech/MCA/MTect/MS)

6 - 8 years of solid experience in SQL Server 2016/2019 Database administration and

maintenance on Azure and AWS cloud.

Experience handling and managing large SQL Server databases in a real time production

environment with sizes greater than 200+ GB

Experience in troubleshooting and resolving database integrity issues performance

issues blocking/deadlocking issues connectivity issues data replication issues etc.

Experience on Configuration Trouble shoot on SQL Server HA

Ability to detect and troubleshoot database related CPUmemoryI/Odisk space and other

resource contention issues.

Experience with database maintenance activities such as backup/recovery & capacity

monitoring/management and Azure Backup Services.

Experience with HA/Failover technologies such as Clustering SAN Replication Log

shipping & mirroring.

Experience collaborating with development teams on physical database design activities

and performance tuning.

Experience in managing and making software deployments/changes in real time

production environments.

Ability to work on multiple projects at one time with minimal supervision and ensure high

quality timely delivery.

Knowledge on tools like SQL Lite speed SQL Diagnostic Manager App Dynamics.

Strong understanding of Data Warehousing concepts and SQL server Architecture

Certified DBA Proficient in TSQL Proficient in the various Storage technologies such as

ASM SAN NAS RAID Multi patching

Strong analytical and problem solving skills Proactive independent and proven ability to

work under tight target and pressure

Experience working in a highly regulated environment such as a financial services

institutions

Expertise in SSIS SSRS

Skills:

SSIS

SSRS

Requirements:

• 2+ years of experience (4+ for Senior Data Engineer) with system/data integration, development or implementation of enterprise and/or cloud software Engineering degree in Computer Science, Engineering or related field.
• Extensive hands-on experience with data integration/EAI technologies (File, API, Queues, Streams), ETL Tools and building custom data pipelines.
• Demonstrated proficiency with Python, JavaScript and/or Java
• Familiarity with version control/SCM is a must (experience with git is a plus).
• Experience with relational and NoSQL databases (any vendor) Solid understanding of cloud computing concepts.
• Strong organisational and troubleshooting skills with attention to detail.
• Strong analytical ability, judgment and problem-solving techniques Interpersonal and communication skills with the ability to work effectively in a cross functional team.

• Product Analytics: This is the first and most obvious role of the Product Analyst. At this capacity, the Product Analyst is responsible for the development and delivery of tangible consumer benefits through the product or service of the business.
• In addition, in this capacity, the Product Analyst is also responsible for measuring and monitoring the product or service’s performance as well as presenting product-related consumer, market, and competitive intelligence.
• Product Strategy: As a member of the Product team, the Product Analyst is responsible for the development and proposal of product strategies.
• Product Management Operations: The Product Analyst also has the obligation to respond in a timely manner to all requests and inquiries for product information or changes. He also performs the initial product analysis in order to assess the need for any requested changes as well as their potential impact.
• At this capacity, the Product Analyst also undertakes financial modeling on the products or services of the business as well as of the target markets in order to bring about an understanding of the relations between the product and the target market. This information is presented to the Marketing Manager and other stakeholders, when necessary.
• Additionally, the Product Analyst produces reports and makes recommendations to the Product Manager and Product Marketing Manager to be used as guidance in decision-making pertaining to the business’s new as well as existent products.
• Initiative: In this capacity, the Product Analyst ensures that there is a good flow of communication between the Product team and other teams. The Product Analyst ensures this by actively participating in team meetings and keeping everyone up to date.
• Pricing and Development: The Product Analyst has the responsibility to monitor the market, competitor activities, as well as any price movements and make recommendations that will be used in key decision making. In this function, the Product Analyst will normally liaise with other departments such as the credit/risk in the business in order to enhance and increase the efficiency of effecting price changes in accordance with market shifts.
• Customer/Market Intelligence: The Product Analyst has the obligation to drive consumer intelligence through the development of external and internal data sources that improve the business’s understanding of the product’s market, competitor activities, and consumer activities.
• In the performance of this role, the Product Analyst develops or adopts research tools, sources, and methods that further support and contribute to the business’s product.

1. Data Steward :

Data Steward will collaborate and work closely within the group software engineering and business division. Data Steward has overall accountability for the group's / Divisions overall data and reporting posture by responsibly managing data assets, data lineage, and data access, supporting sound data analysis. This role requires focus on data strategy, execution, and support for projects, programs, application enhancements, and production data fixes. Makes well-thought-out decisions on complex or ambiguous data issues and establishes the data stewardship and information management strategy and direction for the group. Effectively communicates to individuals at various levels of the technical and business communities. This individual will become part of the corporate Data Quality and Data management/entity resolution team supporting various systems across the board.

Primary Responsibilities:

• Responsible for data quality and data accuracy across all group/division delivery initiatives.
• Responsible for data analysis, data profiling, data modeling, and data mapping capabilities.
• Responsible for reviewing and governing data queries and DML.
• Accountable for the assessment, delivery, quality, accuracy, and tracking of any production data fixes.
• Accountable for the performance, quality, and alignment to requirements for all data query design and development.
• Responsible for defining standards and best practices for data analysis, modeling, and queries.
• Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management.
• Responsible for the development and maintenance of an enterprise data dictionary that is aligned to data assets and the business glossary for the group responsible for the definition and maintenance of the group's data landscape including overlays with the technology landscape, end-to-end data flow/transformations, and data lineage.
• Responsible for rationalizing the group's reporting posture through the definition and maintenance of a reporting strategy and roadmap.
• Partners with the data governance team to ensure data solutions adhere to the organization’s data principles and guidelines.
• Owns group's data assets including reports, data warehouse, etc.
• Understand customer business use cases and be able to translate them to technical specifications and vision on how to implement a solution.
• Accountable for defining the performance tuning needs for all group data assets and managing the implementation of those requirements within the context of group initiatives as well as steady-state production.
• Partners with others in test data management and masking strategies and the creation of a reusable test data repository.
• Responsible for solving data-related issues and communicating resolutions with other solution domains.
• Actively and consistently support all efforts to simplify and enhance the Clinical Trial Predication use cases.
• Apply knowledge in analytic and statistical algorithms to help customers explore methods to improve their business.
• Contribute toward analytical research projects through all stages including concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report.
• Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders.
• Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed.

Additional Responsibilities:

• Strong understanding of the Software Development Life Cycle (SDLC) with Agile Methodologies
• Knowledge and understanding of industry-standard/best practices requirements gathering methodologies.
• Knowledge and understanding of Information Technology systems and software development.
• Experience with data modeling and test data management tools.
• Experience in the data integration project • Good problem solving & decision-making skills.
• Good communication skills within the team, site, and with the customer

Knowledge, Skills and Abilities

• Technical expertise in data architecture principles and design aspects of various DBMS and reporting concepts.
• Solid understanding of key DBMS platforms like SQL Server, Azure SQL
• Results-oriented, diligent, and works with a sense of urgency. Assertive, responsible for his/her own work (self-directed), have a strong affinity for defining work in deliverables, and be willing to commit to deadlines.
• Experience in MDM tools like MS DQ, SAS DM Studio, Tamr, Profisee, Reltio etc.
• Experience in Report and Dashboard development
• Statistical and Machine Learning models
• Python (sklearn, numpy, pandas, genism)
• Nice to Have:
• 1yr of ETL experience
• Natural Language Processing
• Neural networks and Deep learning
• xperience in keras,tensorflow,spacy, nltk, LightGBM python library

Interaction :  Frequently interacts with subordinate supervisors.

Education : Bachelor’s degree, preferably in Computer Science, B.E or other quantitative field related to the area of assignment. Professional certification related to the area of assignment may be required

Experience :  7 years of Pharmaceutical /Biotech/life sciences experience, 5 years of Clinical Trials experience and knowledge, Excellent Documentation, Communication, and Presentation Skills including PowerPoint

Nactus is at forefront of education reinvention, helping educators and learner’s community at large through innovative solutions in digital era. We are looking for an experienced AI specialist to join our revolution using the deep learning, artificial intelligence.  This is an excellent opportunity to take advantage of emerging trends and technologies to a real-world difference.

Role and Responsibilities

• Manage and direct research and development (R&D) and processes to meet the needs of our AI strategy.
• Understand company and client challenges and how integrating AI capabilities can help create educational solutions.
• Analyse and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards.

Skills Required

• Knowledge of algorithms, object-oriented and functional design principles
• Demonstrated artificial intelligence, machine learning, mathematical and statistical modelling knowledge and skills.
• Well-developed programming skills – specifically in SAS or SQL and other packages with statistical and machine learning application, e.g. R, Python
• Experience with machine learning fundamentals, parallel computing and distributed systems fundamentals, or data structure fundamentals
• Experience with C, C++, or Python programming
• Experience with debugging and building AI applications.
• Robustness and productivity analyse conclusions.
• Develop a human-machine speech interface.
• Verify, evaluate, and demonstrate implemented work.
• Proven experience with ML, deep learning, Tensorflow, Python