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Python🚀 Exciting Opportunity: Data Engineer Position in Gurugram 🌐
Hello
We are actively seeking a talented and experienced Data Engineer to join our dynamic team at Reality Motivational Venture in Gurugram (Gurgaon). If you're passionate about data, thrive in a collaborative environment, and possess the skills we're looking for, we want to hear from you!
Position: Data Engineer
Location: Gurugram (Gurgaon)
Experience: 5+ years
Key Skills:
- Python
- Spark, Pyspark
- Data Governance
- Cloud (AWS/Azure/GCP)
Main Responsibilities:
- Define and set up analytics environments for "Big Data" applications in collaboration with domain experts.
- Implement ETL processes for telemetry-based and stationary test data.
- Support in defining data governance, including data lifecycle management.
- Develop large-scale data processing engines and real-time search and analytics based on time series data.
- Ensure technical, methodological, and quality aspects.
- Support CI/CD processes.
- Foster know-how development and transfer, continuous improvement of leading technologies within Data Engineering.
- Collaborate with solution architects on the development of complex on-premise, hybrid, and cloud solution architectures.
Qualification Requirements:
- BSc, MSc, MEng, or PhD in Computer Science, Informatics/Telematics, Mathematics/Statistics, or a comparable engineering degree.
- Proficiency in Python and the PyData stack (Pandas/Numpy).
- Experience in high-level programming languages (C#/C++/Java).
- Familiarity with scalable processing environments like Dask (or Spark).
- Proficient in Linux and scripting languages (Bash Scripts).
- Experience in containerization and orchestration of containerized services (Kubernetes).
- Education in database technologies (SQL/OLAP and Non-SQL).
- Interest in Big Data storage technologies (Elastic, ClickHouse).
- Familiarity with Cloud technologies (Azure, AWS, GCP).
- Fluent English communication skills (speaking and writing).
- Ability to work constructively with a global team.
- Willingness to travel for business trips during development projects.
Preferable:
- Working knowledge of vehicle architectures, communication, and components.
- Experience in additional programming languages (C#/C++/Java, R, Scala, MATLAB).
- Experience in time-series processing.
How to Apply:
Interested candidates, please share your updated CV/resume with me.
Thank you for considering this exciting opportunity.
Amazon Web Services (AWS)Greetings !!!
Looking Urgently !!!
Exp-Min 10 Years
Location-Delhi
Sal-nego
Role
AWS Data Migration Consultant
Provide Data Migration strategy, expert review and guidance on Data Migration from onprem to AWS infrastructure that includes AWS Fargate, PostgreSQL, DynamoDB. This includes review and SME inputs on:
· Data migration plan, architecture, policies, procedures
· Migration testing methodologies
· Data integrity, consistency, resiliency.
· Performance and Scalability
· Capacity planning
· Security, access control, encryption
· DB replication and clustering techniques
· Migration risk mitigation approaches
· Verification and integrity testing, reporting (Record and field level verifications)
· Schema consistency and mapping
· Logging, error recovery
· Dev-test, staging and production artifact promotions and deployment pipelines
· Change management
· Backup, DR approaches and best practices.
Qualifications
- Worked on mid to large scale data migration projects, specifically from on-prem to AWS, preferably in BFSI domain
- Deep expertise in AWS Redshift, PostgreSQL, DynamoDB from data management, performance, scalability and consistency standpoint
- Strong knowledge of AWS Cloud architecture and components, solutions, well architected frameworks
- Expertise in SQL and DB performance related aspects
- Solution Architecture work for enterprise grade BFSI applications
- Successful track record of defining and implementing data migration strategies
- Excellent communication and problem solving skills
- 10+ Yrs experience in Technology, at least 4+yrs in AWS and DBA/DB Management/Migration related work
- Bachelors degree or higher in Engineering or related field
We are looking for a Senior Data Engineer to join the Customer Innovation team, who will be responsible for acquiring, transforming, and integrating customer data onto our Data Activation Platform from customers’ clinical, claims, and other data sources. You will work closely with customers to build data and analytics solutions to support their business needs, and be the engine that powers the partnership that we build with them by delivering high-fidelity data assets.
In this role, you will work closely with our Product Managers, Data Scientists, and Software Engineers to build the solution architecture that will support customer objectives. You'll work with some of the brightest minds in the industry, work with one of the richest healthcare data sets in the world, use cutting-edge technology, and see your efforts affect products and people on a regular basis. The ideal candidate is someone that
- Has healthcare experience and is passionate about helping heal people,
- Loves working with data,
- Has an obsessive focus on data quality,
- Is comfortable with ambiguity and making decisions based on available data and reasonable assumptions,
- Has strong data interrogation and analysis skills,
- Defaults to written communication and delivers clean documentation, and,
- Enjoys working with customers and problem solving for them.
A day in the life at Innovaccer:
- Define the end-to-end solution architecture for projects by mapping customers’ business and technical requirements against the suite of Innovaccer products and Solutions.
- Measure and communicate impact to our customers.
- Enabling customers on how to activate data themselves using SQL, BI tools, or APIs to solve questions they have at speed.
What You Need:
- 4+ years of experience in a Data Engineering role, a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
- 4+ years of experience working with relational databases like Snowflake, Redshift, or Postgres.
- Intermediate to advanced level SQL programming skills.
- Data Analytics and Visualization (using tools like PowerBI)
- The ability to engage with both the business and technical teams of a client - to document and explain technical problems or concepts in a clear and concise way.
- Ability to work in a fast-paced and agile environment.
- Easily adapt and learn new things whether it’s a new library, framework, process, or visual design concept.
What we offer:
- Industry certifications: We want you to be a subject matter expert in what you do. So, whether it’s our product or our domain, we’ll help you dive in and get certified.
- Quarterly rewards and recognition programs: We foster learning and encourage people to take risks. We recognize and reward your hard work.
- Health benefits: We cover health insurance for you and your loved ones.
- Sabbatical policy: We encourage people to take time off and rejuvenate, learn new skills, and pursue their interests so they can generate new ideas with Innovaccer.
- Pet-friendly office and open floor plan: No boring cubicles.
* Formulates and recommends standards for achieving maximum performance
and efficiency of the DW ecosystem.
* Participates in the Pre-sales activities for solutions of various customer
problem-statement/situations.
* Develop business cases and ROI for the customer/clients.
* Interview stakeholders and develop BI roadmap for success given project
prioritization
* Evangelize self-service BI and visual discovery while helping to automate any
manual process at the client site.
* Work closely with the Engineering Manager to ensure prioritization of
customer deliverables.
* Champion data quality, integrity, and reliability throughout the organization by
designing and promoting best practices.
*Implementation 20%
* Help DW/DE team members with issues needing technical expertise or
complex systems and/or programming knowledge.
* Provide on-the-job training for new or less experienced team members.
* Develop a technical excellence team
Requirements
- experience designing business intelligence solutions
- experience with ETL Process, Data warehouse architecture
- experience with Azure Data services i.e., ADF, ADLS Gen 2, Azure SQL dB,
Synapse, Azure Databricks, and Power BI
- Good analytical and problem-solving skills
- Fluent in relational database concepts and flat file processing concepts
- Must be knowledgeable in software development lifecycles/methodologies
Greetings! We are looking for Product Manager for our Data modernization product. We need a resource with good knowledge on Big Data/DWH. should have strong Stakeholders management and Presentation skills
testing
Good knowledge of Informatica ETL, Oracle Analytics Server
Analytical ability to design warehouse as per user requirements mainly in Finance and HR domain
Good skills to analyze existing ETL, dashboard to understand the logic and do enhancements as per
requirements
Good communication skills and written communication
Qualifications
Master or Bachelor degree in Engineering/Computer Science /Information Technology
Additional information
Excellent verbal and written communication skills
Data Analyst
Job Brief:
The successful candidate will turn data into information, information into insight and insight into business decisions.
Data Analyst Job Duties
Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance
and quality control plans to identify improvements.
About Us
We began in 2015 with an entrepreneurial vision to bring a digital change in the manufacturing landscape of India. With a team of 300+ we are working towards the digital transformation of business in the manufacturing industry across domains like Footwear, Apparel, Textile, Accessories etc. We are backed by investors such as
Info Edge (Naukri.com), Matrix Partners, Sequoia, Water Bridge Ventures and select Industry leaders.
Today, we have enabled 2000+ Manufacturers to digitize their distribution channel.
Responsibilities
● Interpret data, analyze results using statistical techniques and provide ongoing reports.
● Develop and implement databases, data collection systems, data analytics and other strategies that
optimize statistical efficiency and quality.
● Acquire data from primary or secondary data sources and maintain databases/data systems.
● Identify, analyze, and interpret trends or patterns in complex data sets.
● Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and
correct code problems.
● Work with management to prioritize business and information needs.
● Locate and define new process improvement opportunities.
Requirements
● Proven working experience as a Data Analyst or Business Data Analyst.
● Technical expertise regarding data models, database design development, data mining and segmentation
techniques.
● Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc),
programming (XML, Javascript, or ETL frameworks).
● Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS
etc).
● Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of
information with attention to detail and accuracy.
● Adept at queries, report writing and presenting findings.
Job Location
South Delhi, New Delhi
Experience: 6-9 yrs
Location: NoidaJob Description:
- Must Have 3-4 Experience in SSIS, Mysql
- Good Experience in Tableau
- Experience in SQL Server.
- 1+ year of Experience in Tableau
- Knowledge of ETL Tool
- Knowledge of Dataware Housing
- Expertise in designing and implementing enterprise scale database (OLTP) and Data warehouse solutions.
- Hands on experience in implementing Azure SQL Database, Azure SQL Date warehouse (Azure Synapse Analytics) and big data processing using Azure Databricks and Azure HD Insight.
- Expert in writing T-SQL programming for complex stored procedures, functions, views and query optimization.
- Should be aware of Database development for both on-premise and SAAS Applications using SQL Server and PostgreSQL.
- Experience in ETL and ELT implementations using Azure Data Factory V2 and SSIS.
- Experience and expertise in building machine learning models using Logistic and linear regression, Decision tree and Random forest Algorithms.
- PolyBase queries for exporting and importing data into Azure Data Lake.
- Building data models both tabular and multidimensional using SQL Server data tools.
- Writing data preparation, cleaning and processing steps using Python, SCALA, and R.
- Programming experience using python libraries NumPy, Pandas and Matplotlib.
- Implementing NOSQL databases and writing queries using cypher.
- Designing end user visualizations using Power BI, QlikView and Tableau.
- Experience working with all versions of SQL Server 2005/2008/2008R2/2012/2014/2016/2017/2019
- Experience using the expression languages MDX and DAX.
- Experience in migrating on-premise SQL server database to Microsoft Azure.
- Hands on experience in using Azure blob storage, Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2.
- Performance tuning complex SQL queries, hands on experience using SQL Extended events.
- Data modeling using Power BI for Adhoc reporting.
- Raw data load automation using T-SQL and SSIS
- Expert in migrating existing on-premise database to SQL Azure.
- Experience in using U-SQL for Azure Data Lake Analytics.
- Hands on experience in generating SSRS reports using MDX.
- Experience in designing predictive models using Python and SQL Server.
- Developing machine learning models using Azure Databricks and SQL Server
Informatica PowerCenter, Informatica Change Data Capture, Azure SQL, Azure Data Lake
Job Description
Minimum of 15 years of Experience with Informatica ETL, Database technologies Experience with Azure database technologies including Azure SQL Server, Azure Data Lake Exposure to Change data capture technology Lead and guide development of an Informatica based ETL architecture. Develop solution in highly demanding environment and provide hands on guidance to other team members. Head complex ETL requirements and design. Implement an Informatica based ETL solution fulfilling stringent performance requirements. Collaborate with product development teams and senior designers to develop architectural requirements for the requirements. Assess requirements for completeness and accuracy. Determine if requirements are actionable for ETL team. Conduct impact assessment and determine size of effort based on requirements. Develop full SDLC project plans to implement ETL solution and identify resource requirements. Perform as active, leading role in shaping and enhancing overall ETL Informatica architecture and Identify, recommend and implement ETL process and architecture improvements. Assist and verify design of solution and production of all design phase deliverables. Manage build phase and quality assure code to ensure fulfilling requirements and adhering to ETL architecture.
Data Analytics
R ProgrammingData Analyst Job Duties
Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.
Responsibilities
-
Interpret data, analyze results using statistical techniques and provide ongoing reports
-
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
-
Acquire data from primary or secondary data sources and maintain databases/data systems
-
Identify, analyze, and interpret trends or patterns in complex data sets
-
Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
-
Work with management to prioritize business and information needs
-
Locate and define new process improvement opportunities
Requirements
-
Proven working experience as a Data Analyst or Business Data Analyst
-
https://resources.workable.com/data-scientist-analysis-interview-questions">Technical expertise regarding data models, database design development, data mining and segmentation techniques
-
Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
-
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
-
Strong https://resources.workable.com/analytical-skills-interview-questions">analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
-
Adept at queries, report writing and presenting findings
-
BS in Mathematics, Economics, Computer Science, Information Management or Statistics
-
· Prior experience of statistical modelling techniques, AI/ML models etc. will be value add
· Working knowledge of reporting packages (Business Objects, QLIK Power BI etc.), ETL frameworks will be an advantage.
· Knowledge of statistics and experience using statistical packages for analysing datasets (MS Excel, SPSS, SAS etc.)
· Experience on Python, R and other scripting languages is desirable, but not must
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Responsible for planning, connecting, designing, scheduling, and deploying data warehouse systems. Develops, monitors, and maintains ETL processes, reporting applications, and data warehouse design. |
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Role and Responsibility |
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· Plan, create, coordinate, and deploy data warehouses. · Design end user interface. · Create best practices for data loading and extraction. · Develop data architecture, data modeling, and ETFL mapping solutions within structured data warehouse environment. · Develop reporting applications and data warehouse consistency. · Facilitate requirements gathering using expert listening skills and develop unique simple solutions to meet the immediate and long-term needs of business customers. · Supervise design throughout implementation process. · Design and build cubes while performing custom scripts. · Develop and implement ETL routines according to the DWH design and architecture. · Support the development and validation required through the lifecycle of the DWH and Business Intelligence systems, maintain user connectivity, and provide adequate security for data warehouse. · Monitor the DWH and BI systems performance and integrity provide corrective and preventative maintenance as required. · Manage multiple projects at once. |
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DESIRABLE SKILL SET |
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· Experience with technologies such as MySQL, MongoDB, SQL Server 2008, as well as with newer ones like SSIS and stored procedures · Exceptional experience developing codes, testing for quality assurance, administering RDBMS, and monitoring of database · High proficiency in dimensional modeling techniques and their applications · Strong analytical, consultative, and communication skills; as well as the ability to make good judgment and work with both technical and business personnel · Several years working experience with Tableau, MicroStrategy, Information Builders, and other reporting and analytical tools · Working knowledge of SAS and R code used in data processing and modeling tasks · Strong experience with Hadoop, Impala, Pig, Hive, YARN, and other “big data” technologies such as AWS Redshift or Google Big Data
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Amazon Web Services (AWS)PythonPipelines should be optimised to handle both real time data, batch update data and historical data.
Establish scalable, efficient, automated processes for complex, large scale data analysis.
Write high quality code to gather and manage large data sets (both real time and batch data) from multiple sources, perform ETL and store it in a data warehouse.
Manipulate and analyse complex, high-volume, high-dimensional data from varying sources using a variety of tools and data analysis techniques.
Participate in data pipelines health monitoring and performance optimisations as well as quality documentation.
Interact with end users/clients and translate business language into technical requirements.
Acts independently to expose and resolve problems.
Job Requirements :-
2+ years experience working in software development & data pipeline development for enterprise analytics.
2+ years of working with Python with exposure to various warehousing tools
In-depth working with any of commercial tools like AWS Glue, Ta-lend, Informatica, Data-stage, etc.
Experience with various relational databases like MySQL, MSSql, Oracle etc. is a must.
Experience with analytics and reporting tools (Tableau, Power BI, SSRS, SSAS).
Experience in various DevOps practices helping the client to deploy and scale the systems as per requirement.
Strong verbal and written communication skills with other developers and business client.
Knowledge of Logistics and/or Transportation Domain is a plus.
Hands-on with traditional databases and ERP systems like Sybase and People-soft.
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