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Looker Jobs in Chennai

11+ Looker Jobs in Chennai | Looker Job openings in Chennai

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LatentView Analytics

at LatentView Analytics

3 recruiters
Kannikanti madhuri
Posted by Kannikanti madhuri
Chennai
1 - 4 yrs
₹2L - ₹10L / yr
Business Intelligence (BI)
Analytics
SQL server
Data Visualization
Tableau
+7 more
Title: Analyst - Business AnalyticsExperience: 1 - 4 YearsLocation: ChennaiOpen Positions: 17Job Description:Roles & Responsibilities:- Designing and implementing analytical projects that drive business goals and decisions leveraging structured and unstructured data.- Generating a compelling story from insights and trends in a complex data environment.- Working shoulder-to-shoulder with business partners to come up with creative approaches to solve the business problem.- Creating dashboards for business heads by exploring available data assets.Qualifications:- Overall 1+ Years of Business Analytics experience with strong communication skills.- Bachelor or Master degree in computer science is preferred.- Excellent problem solving and client orientation skills.Skills Required:- Ability to program in Advanced SQL is must.- Hands-on experience in Modeling tools such as R or Python- Experience in Visualization tools such as Power BI, Tableau, Looker, etc., would be a big plus.- Analytics certifications from recognized platforms would be a plus - Udemy, Coursera, EDX,etc.
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one-to-one, one-to-many, and many-to-many
Chennai
5 - 10 yrs
₹1L - ₹15L / yr
AWS CloudFormation
Python
PySpark
AWS Lambda

5-7 years of experience in Data Engineering with solid experience in design, development and implementation of end-to-end data ingestion and data processing system in AWS platform.

2-3 years of experience in AWS Glue, Lambda, Appflow, EventBridge, Python, PySpark, Lake House, S3, Redshift, Postgres, API Gateway, CloudFormation, Kinesis, Athena, KMS, IAM.

Experience in modern data architecture, Lake House, Enterprise Data Lake, Data Warehouse, API interfaces, solution patterns, standards and optimizing data ingestion.

Experience in build of data pipelines from source systems like SAP Concur, Veeva Vault, Azure Cost, various social media platforms or similar source systems.

Expertise in analyzing source data and designing a robust and scalable data ingestion framework and pipelines adhering to client Enterprise Data Architecture guidelines.

Proficient in design and development of solutions for real-time (or near real time) stream data processing as well as batch processing on the AWS platform.

Work closely with business analysts, data architects, data engineers, and data analysts to ensure that the data ingestion solutions meet the needs of the business.

Troubleshoot and provide support for issues related to data quality and data ingestion solutions. This may involve debugging data pipeline processes, optimizing queries, or troubleshooting application performance issues.

Experience in working in Agile/Scrum methodologies, CI/CD tools and practices, coding standards, code reviews, source management (GITHUB), JIRA, JIRA Xray and Confluence.

Experience or exposure to design and development using Full Stack tools.

Strong analytical and problem-solving skills, excellent communication (written and oral), and interpersonal skills.

Bachelor's or master's degree in computer science or related field.

 

 

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OJCommerce

at OJCommerce

3 recruiters
Rajalakshmi N
Posted by Rajalakshmi N
Chennai
2 - 5 yrs
₹7L - ₹12L / yr
Beautiful Soup
Web Scraping
Python
Selenium

Role : Web Scraping Engineer

Experience : 2 to 3 Years

Job Location : Chennai

About OJ Commerce: 


OJ Commerce (OJC), a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India. We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention.

Our extensive product portfolio encompasses over a million SKUs and more than 2,500 brands across eight primary categories. With a robust presence on major platforms such as Amazon, Walmart, Wayfair, Home Depot, and eBay, we directly serve consumers in the United States.

As we continue to forge new partner relationships, our flagship website, www.ojcommerce.com, has rapidly emerged as a top-performing e-commerce channel, catering to millions of customers annually.

Job Summary:

We are seeking a Web Scraping Engineer and Data Extraction Specialist who will play a crucial role in our data acquisition and management processes. The ideal candidate will be proficient in developing and maintaining efficient web crawlers capable of extracting data from large websites and storing it in a database. Strong expertise in Python, web crawling, and data extraction, along with familiarity with popular crawling tools and modules, is essential. Additionally, the candidate should demonstrate the ability to effectively utilize API tools for testing and retrieving data from various sources. Join our team and contribute to our data-driven success!


Responsibilities:


  • Develop and maintain web crawlers in Python.
  • Crawl large websites and extract data.
  • Store data in a database.
  • Analyze and report on data.
  • Work with other engineers to develop and improve our web crawling infrastructure.
  • Stay up to date on the latest crawling tools and techniques.



Required Skills and Qualifications:


  • Bachelor's degree in computer science or a related field.
  • 2-3 years of experience with Python and web crawling.
  • Familiarity with tools / modules such as
  • Scrapy, Selenium, Requests, Beautiful Soup etc.
  • API tools such as Postman or equivalent. 
  • Working knowledge of SQL.
  • Experience with web crawling and data extraction.
  • Strong problem-solving and analytical skills.
  • Ability to work independently and as part of a team.
  • Excellent communication and documentation skills.


What we Offer

• Competitive salary

• Medical Benefits/Accident Cover

• Flexi Office Working Hours

• Fast paced start up

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Chennai
5 - 8 yrs
₹6L - ₹7L / yr
Relational Database (RDBMS)
NOSQL Databases
MySQL
MS SQLServer
SQL server
+13 more

Database Architect

5 - 6 Years

Good Knowledge in Relation and Non-Relational Database

To write Complex Queries and Identify problematic queries and provide a Solution

Good Hands on database tools

Experience in Both SQL and NON SQL Database like SQL Server, PostgreSQL, Mango DB, Maria DB. Etc.

Worked on Data Model Preparation & Structuring Database etc.

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Top IT MNC
Chennai, Bengaluru (Bangalore), Kochi (Cochin), Coimbatore, Hyderabad, Pune, Kolkata, Noida, Gurugram, Mumbai
5 - 13 yrs
₹8L - ₹20L / yr
Snow flake schema
Python
snowflake
Greetings,

We are looking out for a Snowflake developer for one of our premium clients for their PAN India loaction
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Pune, Bengaluru (Bangalore), Chennai, Mumbai, Gurugram, Nashik
5 - 10 yrs
₹20L - ₹22L / yr
Data Science
Kofax
Data Scientist
Machine Learning (ML)
Natural Language Processing (NLP)
+5 more

B1 – Data Scientist  -  Kofax Accredited Developers

 

Requirement – 3

 

Mandatory –

  • Accreditation of Kofax KTA / KTM
  • Experience in Kofax Total Agility Development – 2-3 years minimum
  • Ability to develop and translate functional requirements to design
  • Experience in requirement gathering, analysis, development, testing, documentation, version control, SDLC, Implementation and process orchestration
  • Experience in Kofax Customization, writing Custom Workflow Agents, Custom Modules, Release Scripts
  • Application development using Kofax and KTM modules
  • Good/Advance understanding of Machine Learning /NLP/ Statistics
  • Exposure to or understanding of RPA/OCR/Cognitive Capture tools like Appian/UI Path/Automation Anywhere etc
  • Excellent communication skills and collaborative attitude
  • Work with multiple teams and stakeholders within like Analytics, RPA, Technology and Project management teams
  • Good understanding of compliance, data governance and risk control processes

Total Experience – 7-10 Years in BPO/KPO/ ITES/BFSI/Retail/Travel/Utilities/Service Industry

Good to have

  • Previous experience of working on Agile & Hybrid delivery environment
  • Knowledge of VB.Net, C#( C-Sharp ), SQL Server , Web services

 

Qualification -

  • Masters in Statistics/Mathematics/Economics/Econometrics Or BE/B-Tech, MCA or MBA 

 

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MNC Company - Product Based
Bengaluru (Bangalore), Chennai, Hyderabad, Pune, Delhi, Gurugram, Noida, Ghaziabad, Faridabad
5 - 9 yrs
₹10L - ₹15L / yr
Data Warehouse (DWH)
Informatica
ETL
Python
Google Cloud Platform (GCP)
+2 more

Job Responsibilities

  • Design, build & test ETL processes using Python & SQL for the corporate data warehouse
  • Inform, influence, support, and execute our product decisions
  • Maintain advertising data integrity by working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify issues.
  • Evaluate and prototype new technologies in the area of data processing
  • Think quickly, communicate clearly and work collaboratively with product, data, engineering, QA and operations teams
  • High energy level, strong team player and good work ethic
  • Data analysis, understanding of business requirements and translation into logical pipelines & processes
  • Identification, analysis & resolution of production & development bugs
  • Support the release process including completing & reviewing documentation
  • Configure data mappings & transformations to orchestrate data integration & validation
  • Provide subject matter expertise
  • Document solutions, tools & processes
  • Create & support test plans with hands-on testing
  • Peer reviews of work developed by other data engineers within the team
  • Establish good working relationships & communication channels with relevant departments

 

Skills and Qualifications we look for

  • University degree 2.1 or higher (or equivalent) in a relevant subject. Master’s degree in any data subject will be a strong advantage.
  • 4 - 6 years experience with data engineering.
  • Strong coding ability and software development experience in Python.
  • Strong hands-on experience with SQL and Data Processing.
  • Google cloud platform (Cloud composer, Dataflow, Cloud function, Bigquery, Cloud storage, dataproc)
  • Good working experience in any one of the ETL tools (Airflow would be preferable).
  • Should possess strong analytical and problem solving skills.
  • Good to have skills - Apache pyspark, CircleCI, Terraform
  • Motivated, self-directed, able to work with ambiguity and interested in emerging technologies, agile and collaborative processes.
  • Understanding & experience of agile / scrum delivery methodology

 

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A fast growing Big Data company
Noida, Bengaluru (Bangalore), Chennai, Hyderabad
6 - 8 yrs
₹10L - ₹15L / yr
AWS Glue
SQL
Python
PySpark
Data engineering
+6 more

AWS Glue Developer 

Work Experience: 6 to 8 Years

Work Location:  Noida, Bangalore, Chennai & Hyderabad

Must Have Skills: AWS Glue, DMS, SQL, Python, PySpark, Data integrations and Data Ops, 

Job Reference ID:BT/F21/IND


Job Description:

Design, build and configure applications to meet business process and application requirements.


Responsibilities:

7 years of work experience with ETL, Data Modelling, and Data Architecture Proficient in ETL optimization, designing, coding, and tuning big data processes using Pyspark Extensive experience to build data platforms on AWS using core AWS services Step function, EMR, Lambda, Glue and Athena, Redshift, Postgres, RDS etc and design/develop data engineering solutions. Orchestrate using Airflow.


Technical Experience:

Hands-on experience on developing Data platform and its components Data Lake, cloud Datawarehouse, APIs, Batch and streaming data pipeline Experience with building data pipelines and applications to stream and process large datasets at low latencies.


➢ Enhancements, new development, defect resolution and production support of Big data ETL development using AWS native services.

➢ Create data pipeline architecture by designing and implementing data ingestion solutions.

➢ Integrate data sets using AWS services such as Glue, Lambda functions/ Airflow.

➢ Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, RDS, S3, Athena.

➢ Author ETL processes using Python, Pyspark.

➢ Build Redshift Spectrum direct transformations and data modelling using data in S3.

➢ ETL process monitoring using CloudWatch events.

➢ You will be working in collaboration with other teams. Good communication must.

➢ Must have experience in using AWS services API, AWS CLI and SDK


Professional Attributes:

➢ Experience operating very large data warehouses or data lakes Expert-level skills in writing and optimizing SQL Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technology.

➢ Must have 6+ years of big data ETL experience using Python, S3, Lambda, Dynamo DB, Athena, Glue in AWS environment.

➢ Expertise in S3, RDS, Redshift, Kinesis, EC2 clusters highly desired.


Qualification:

➢ Degree in Computer Science, Computer Engineering or equivalent.


Salary: Commensurate with experience and demonstrated competence

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netmedscom

at netmedscom

3 recruiters
Vijay Hemnath
Posted by Vijay Hemnath
Chennai
2 - 5 yrs
₹6L - ₹25L / yr
Big Data
Hadoop
Apache Hive
Scala
Spark
+12 more

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

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Mobile Programming LLC

at Mobile Programming LLC

1 video
34 recruiters
Apurva kalsotra
Posted by Apurva kalsotra
Mohali, Gurugram, Pune, Bengaluru (Bangalore), Hyderabad, Chennai
3 - 8 yrs
₹2L - ₹9L / yr
Data engineering
Data engineer
Spark
Apache Spark
Apache Kafka
+13 more

Responsibilities for Data Engineer

  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications for Data Engineer

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
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Monexo Fintech

at Monexo Fintech

1 video
5 recruiters
Mukesh Bubna
Posted by Mukesh Bubna
Mumbai, Chennai
1 - 3 yrs
₹3L - ₹5L / yr
Data Science
Python
R Programming
The Candidate should be have: - good understanding of Statistical concepts - worked on Data Analysis and Model building for 1 year - ability to implement Data warehouse and Visualisation tools (IBM, Amazon or Tableau) - use of ETL tools - understanding of scoring models The candidate will be required: - to build models for approval or rejection of loans - build various reports (standard for monthly reporting) to optimise business - implement datawarehosue The candidate should be self-starter as well as work without supervision. You will be the 1st and only employee for this role for the next 6 months.
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