Roles and
Responsibilities
Seeking AWS Cloud Engineer /Data Warehouse Developer for our Data CoE team to
help us in configure and develop new AWS environments for our Enterprise Data Lake,
migrate the on-premise traditional workloads to cloud. Must have a sound
understanding of BI best practices, relational structures, dimensional data modelling,
structured query language (SQL) skills, data warehouse and reporting techniques.
Extensive experience in providing AWS Cloud solutions to various business
use cases.
Creating star schema data models, performing ETLs and validating results with
business representatives
Supporting implemented BI solutions by: monitoring and tuning queries and
data loads, addressing user questions concerning data integrity, monitoring
performance and communicating functional and technical issues.
Job Description: -
This position is responsible for the successful delivery of business intelligence
information to the entire organization and is experienced in BI development and
implementations, data architecture and data warehousing.
Requisite Qualification
Essential
-
AWS Certified Database Specialty or -
AWS Certified Data Analytics
Preferred
Any other Data Engineer Certification
Requisite Experience
Essential 4 -7 yrs of experience
Preferred 2+ yrs of experience in ETL & data pipelines
Skills Required
Special Skills Required
AWS: S3, DMS, Redshift, EC2, VPC, Lambda, Delta Lake, CloudWatch etc.
Bigdata: Databricks, Spark, Glue and Athena
Expertise in Lake Formation, Python programming, Spark, Shell scripting
Minimum Bachelor’s degree with 5+ years of experience in designing, building,
and maintaining AWS data components
3+ years of experience in data component configuration, related roles and
access setup
Expertise in Python programming
Knowledge in all aspects of DevOps (source control, continuous integration,
deployments, etc.)
Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD
Hands on ETL development experience, preferably using or SSIS
SQL Server experience required
Strong analytical skills to solve and model complex business requirements
Sound understanding of BI Best Practices/Methodologies, relational structures,
dimensional data modelling, structured query language (SQL) skills, data
warehouse and reporting techniques
Preferred Skills
Required
Experience working in the SCRUM Environment.
Experience in Administration (Windows/Unix/Network/
plus.
Experience in SQL Server, SSIS, SSAS, SSRS
Comfortable with creating data models and visualization using Power BI
Hands on experience in relational and multi-dimensional data modelling,
including multiple source systems from databases and flat files, and the use of
standard data modelling tools
Ability to collaborate on a team with infrastructure, BI report development and
business analyst resources, and clearly communicate solutions to both
technical and non-technical team members
About Encubate Tech Private Ltd
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LogiNext is looking for a technically savvy and passionate Senior Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.
Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.
Responsibilities :
Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties
Requirements:
Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 4 to 7 years of experience in data mining, data modeling, and reporting 3+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experince in team management.
Your Day-to-Day
- Derive Insights and drive major strategic projects to improve Business Metrics and take responsibility for cost efficiency and Revenue management across the country
- Perform Market research, Post Mortem analyses on competitor expansion and Market Penetration patterns.
- Provide in-depth business analysis and data insights for internal stakeholders to help improve business. Derive and launch projects in order to reduce the gaps between targeted and projected business metrics
- Responsible for optimizing Carsome’s C2B and B2C customer acquisition and Dealer retention funnel. Work closely with Marketing and Tech teams to create, produce and implement creative digital marketing campaigns and drive CRM initiatives and strategies
- Analyse the Revenue flows and processes large datasets to gather process insights and propose process improvement ideas for Carsome across SE-Asia
- Lead commercial projects & process mapping, from conceptualization to completion, to build or re-engineer business models, tools and processes.
- Having experience in analyses and insights in dealing on Unit Economics, COGs and P&L will be preferred ,but not mandatory
- Use Business Intelligence and Data Science tools to answer the appropriate business problems using SQL, Tableau or Python.
- Coordinate with HQ Data Insights Team and manage internal stakeholders across departments to ensure the smooth delivery of strategic projects
- Work across different departments/functions (BI,DE, tech, pricing, finance, operations, marketing, CS,CX) and also on high impact projects and support business expansion initiatives
Your Know-Know
- At least a Bachelor's Degree in Accounting/Finance/Business or the equivalent.
- 3-5 years of experience in strategy / consulting / analytical / project management roles; experience in e-commerce, Start-ups or Unicorns(CARS24,OLA,SWIGGY,FLIPKART,OYO) or entrepreneur experience preferred + At Least 2 years of experience leading a team
- Top-notch academics from a Tier 1 college (IIM / IIT/ NIT)
- Must have SQL/PostgreSQL/Tableau Experience.
- Excellent Market Research, reporting and analytical skills, including carrying out weekly and monthly reporting
- Holds experience in working with Data/Business Intelligence Team
- Analytical mindset with ability to present data in a structured and informative way
- Enjoy a fast-paced environment and can align business objectives with product priorities
- Good to have : Financial modelling, Developing financial forecasts , development of Financial - strategic plan/framework
- Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
- Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques for the specific business problem and then build the models that solve the problem.
- Own the end-end process, from recognizing the problem to implementing the solution.
- Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
- Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.
Skills and Qualification
- 12 to 15 yrs of experience.
- An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
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🚀 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.
We are looking for a Data Analyst that oversees organisational data analytics. This will require you to design and help implement the data analytics platform that will keep the organisation running. The team will be the go-to for all data needs for the app and we are looking for a self-starter who is hands on and yet able to abstract problems and anticipate data requirements.
This person should be very strong technical data analyst who can design and implement data systems on his own. Along with him, he also needs to be proficient in business reporting and should have keen interest in provided data needed for business.
Tools familiarity: SQL, Python, Mix panel, Metabase, Google Analytics, Clever Tap, App Analytics
Responsibilities
- Processes and frameworks for metrics, analytics, experimentation and user insights, lead the data analytics team
- Metrics alignment across teams to make them actionable and promote accountability
- Data based frameworks for assessing and strengthening Product Market Fit
- Identify viable growth strategies through data and experimentation
- Experimentation for product optimisation and understanding user behaviour
- Structured approach towards deriving user insights, answer questions using data
- This person needs to closely work with Technical and Business teams to get this implemented.
Skills
- 4 to 6 years at a relevant role in data analytics in a Product Oriented company
- Highly organised, technically sound & good at communication
- Ability to handle & build for cross functional data requirements / interactions with teams
- Great with Python, SQL
- Can build, mentor a team
- Knowledge of key business metrics like cohort, engagement cohort, LTV, ROAS, ROE
Eligibility
BTech or MTech in Computer Science/Engineering from a Tier1, Tier2 colleges
Good knowledge on Data Analytics, Data Visualization tools. A formal certification would be added advantage.
We are more interested in what you CAN DO than your location, education, or experience levels.
Send us your code samples / GitHub profile / published articles if applicable.
Job brief
We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.
Your goal will be to help our company analyze trends to make better decisions.
Requirements
1. 2 to 4 years of relevant industry experience
2. Experience in Linear algebra, statistics & Probability skills, such as distributions, Deep Learning, Machine Learning
3. Strong mathematical and statistics background is a must
4. Experience in machine learning frameworks such as Tensorflow, Caffe, PyTorch, or MxNet
5. Strong industry experience in using design patterns, algorithms and data structures
6. Industry experience in using feature engineering, model performance tuning, and optimizing machine learning models
7. Hands on development experience in Python and packages such as NumPy, Sci-Kit Learn and Matplotlib
8. Experience in model building, hyper
- Expertise in building AWS Data Engineering pipelines with AWS Glue -> Athena -> Quick sight
- Experience in developing lambda functions with AWS Lambda
- Expertise with Spark/PySpark – Candidate should be hands on with PySpark code and should be able to do transformations with Spark
- Should be able to code in Python and Scala.
- Snowflake experience will be a plus
4-6 years of total experience in data warehousing and business intelligence
3+ years of solid Power BI experience (Power Query, M-Query, DAX, Aggregates)
2 years’ experience building Power BI using cloud data (Snowflake, Azure Synapse, SQL DB, data lake)
Strong experience building visually appealing UI/UX in Power BI
Understand how to design Power BI solutions for performance (composite models, incremental refresh, analysis services)
Experience building Power BI using large data in direct query mode
Expert SQL background (query building, stored procedure, optimizing performance)