11+ SQL Query Analyzer Jobs in Chennai | SQL Query Analyzer Job openings in Chennai
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- Proficient with SQL Server/T-SQL programming in creation and optimization of complex Stored Procedures, UDF, CTE and Triggers
- Overall Experience should be between 4 to 7 years
- Experience working in a data warehouse environment and a strong understanding of dimensional data modeling concepts. Experience in SQL server, DW principles and SSIS.
- Should have strong experience in building data transformations with SSIS including importing data from files, and moving data from source to destination.
- Creating new SSIS packages or modifying existing SSIS packages using SQL server
- Debug and fine-tune SSIS processes to ensure accurate and efficient movement of data. Experience with ETL testing & data validation.
- 1+ years of experience with Azure services like Azure Data Factory, Data flow, Azure blob Storage, etc.
- 1+ years of experience with developing Azure Data Factory Objects - ADF pipeline, configuration, parameters, variables, Integration services runtime.
- Must be able to build Business Intelligence solutions in a collaborative, agile development environment.
- Reporting experience with Power BI or SSRS is a plus.
- Experience working on an Agile/Scrum team preferred.
- Proven strong problem-solving skills, troubleshooting, and root cause analysis.
- Excellent written and verbal communication skills.
SKILLS:
Mandatory Skills:
- Advanced Understanding of Adobe Analytics as an Architect or at the least Business Practitioner.
- Possess excellent analytical skills to understand the intricacies of the data and visualization.
- Advanced MS Excel skills.
- Good communication skills.
- Team Building & Handling
Desired Skills:
- Hands-on Visualization Tools like Tableau and Power BI.
- Must have understanding on Adobe DTM and Launch (Tag Management Systems).
- SQL – Basic.
What you’ll be responsible for:
- Monitor the site performance on a daily basis.
- Understand user behaviour and create actionable dashboards.
- Create and maintain daily/weekly/monthly reports.
- Analyse and Audit data to generate dashboards.
- Measure and report performance of marketing campaigns, gain insight and assess against goals.
- Hands-on knowledge with user behaviour tracking systems and methodologies.
- Identifying key needs or gaps and provide leadership to close those gaps.
Challenges (also responsible) you’ll be facing in the role:
- Understand client requirement and create ad hoc reports/Recommendations.
- Provide meaningful insights from data to make operational and strategic decisions for clients.
- Strong Understanding of various technologies being used in the digital transformation space.
- Should possess Data Visualization skills to help build interactive reports.
- Independent and proactive self-starter.
at Optisol Business Solutions Pvt Ltd
Role Summary
As a Data Engineer, you will be an integral part of our Data Engineering team supporting an event-driven server less data engineering pipeline on AWS cloud, responsible for assisting in the end-to-end analysis, development & maintenance of data pipelines and systems (DataOps). You will work closely with fellow data engineers & production support to ensure the availability and reliability of data for analytics and business intelligence purposes.
Requirements:
· Around 4 years of working experience in data warehousing / BI system.
· Strong hands-on experience with Snowflake AND strong programming skills in Python
· Strong hands-on SQL skills
· Knowledge with any of the cloud databases such as Snowflake,Redshift,Google BigQuery,RDS,etc.
· Knowledge on debt for cloud databases
· AWS Services such as SNS, SQS, ECS, Docker, Kinesis & Lambda functions
· Solid understanding of ETL processes, and data warehousing concepts
· Familiarity with version control systems (e.g., Git/bit bucket, etc.) and collaborative development practices in an agile framework
· Experience with scrum methodologies
· Infrastructure build tools such as CFT / Terraform is a plus.
· Knowledge on Denodo, data cataloguing tools & data quality mechanisms is a plus.
· Strong team player with good communication skills.
Overview Optisol Business Solutions
OptiSol was named on this year's Best Companies to Work for list by Great place to work. We are a team of about 500+ Agile employees with a development center in India and global offices in the US, UK (United Kingdom), Australia, Ireland, Sweden, and Dubai. 16+ years of joyful journey and we have built about 500+ digital solutions. We have 200+ happy and satisfied clients across 24 countries.
Benefits, working with Optisol
· Great Learning & Development program
· Flextime, Work-at-Home & Hybrid Options
· A knowledgeable, high-achieving, experienced & fun team.
· Spot Awards & Recognition.
· The chance to be a part of next success story.
· A competitive base salary.
More Than Just a Job, We Offer an Opportunity To Grow. Are you the one, who looks out to Build your Future & Build your Dream? We have the Job for you, to make your dream comes true.
Job Sector: IT, Software
Job Type: Permanent
Location: Chennai
Experience: 10 - 20 Years
Salary: 12 – 40 LPA
Education: Any Graduate
Notice Period: Immediate
Key Skills: Python, Spark, AWS, SQL, PySpark
Contact at triple eight two zero nine four two double seven
Job Description:
Requirements
- Minimum 12 years experience
- In depth understanding and knowledge on distributed computing with spark.
- Deep understanding of Spark Architecture and internals
- Proven experience in data ingestion, data integration and data analytics with spark, preferably PySpark.
- Expertise in ETL processes, data warehousing and data lakes.
- Hands on with python for Big data and analytics.
- Hands on in agile scrum model is an added advantage.
- Knowledge on CI/CD and orchestration tools is desirable.
- AWS S3, Redshift, Lambda knowledge is preferred
Analytics Job Description
We are hiring an Analytics Engineer to help drive our Business Intelligence efforts. You will
partner closely with leaders across the organization, working together to understand the how
and why of people, team and company challenges, workflows and culture. The team is
responsible for delivering data and insights that drive decision-making, execution, and
investments for our product initiatives.
You will work cross-functionally with product, marketing, sales, engineering, finance, and our
customer-facing teams enabling them with data and narratives about the customer journey.
You’ll also work closely with other data teams, such as data engineering and product analytics,
to ensure we are creating a strong data culture at Blend that enables our cross-functional partners
to be more data-informed.
Role : DataEngineer
Please find below the JD for the DataEngineer Role..
Location: Guindy,Chennai
How you’ll contribute:
• Develop objectives and metrics, ensure priorities are data-driven, and balance short-
term and long-term goals
• Develop deep analytical insights to inform and influence product roadmaps and
business decisions and help improve the consumer experience
• Work closely with GTM and supporting operations teams to author and develop core
data sets that empower analyses
• Deeply understand the business and proactively spot risks and opportunities
• Develop dashboards and define metrics that drive key business decisions
• Build and maintain scalable ETL pipelines via solutions such as Fivetran, Hightouch,
and Workato
• Design our Analytics and Business Intelligence architecture, assessing and
implementing new technologies that fitting
• Work with our engineering teams to continually make our data pipelines and tooling
more resilient
Who you are:
• Bachelor’s degree or equivalent required from an accredited institution with a
quantitative focus such as Economics, Operations Research, Statistics, Computer Science OR 1-3 Years of Experience as a Data Analyst, Data Engineer, Data Scientist
• Must have strong SQL and data modeling skills, with experience applying skills to
thoughtfully create data models in a warehouse environment.
• A proven track record of using analysis to drive key decisions and influence change
• Strong storyteller and ability to communicate effectively with managers and
executives
• Demonstrated ability to define metrics for product areas, understand the right
questions to ask and push back on stakeholders in the face of ambiguous, complex
problems, and work with diverse teams with different goals
• A passion for documentation.
• A solution-oriented growth mindset. You’ll need to be a self-starter and thrive in a
dynamic environment.
• A bias towards communication and collaboration with business and technical
stakeholders.
• Quantitative rigor and systems thinking.
• Prior startup experience is preferred, but not required.
• Interest or experience in machine learning techniques (such as clustering, decision
tree, and segmentation)
• Familiarity with a scientific computing language, such as Python, for data wrangling
and statistical analysis
• Experience with a SQL focused data transformation framework such as dbt
• Experience with a Business Intelligence Tool such as Mode/Tableau
Mandatory Skillset:
-Very Strong in SQL
-Spark OR pyspark OR Python
-Shell Scripting
Company - Tekclan Software Solutions
Position – SQL Developer
Experience – Minimum 4+ years of experience in MS SQL server, SQL Programming, ETL development.
Location - Chennai
We are seeking a highly skilled SQL Developer with expertise in MS SQL Server, SSRS, SQL programming, writing stored procedures, and proficiency in ETL using SSIS. The ideal candidate will have a strong understanding of database concepts, query optimization, and data modeling.
Responsibilities:
1. Develop, optimize, and maintain SQL queries, stored procedures, and functions for efficient data retrieval and manipulation.
2. Design and implement ETL processes using SSIS for data extraction, transformation, and loading from various sources.
3. Collaborate with cross-functional teams to gather business requirements and translate them into technical specifications.
4. Create and maintain data models, ensuring data integrity, normalization, and performance.
5. Generate insightful reports and dashboards using SSRS to facilitate data-driven decision making.
6. Troubleshoot and resolve database performance issues, bottlenecks, and data inconsistencies.
7. Conduct thorough testing and debugging of SQL code to ensure accuracy and reliability.
8. Stay up-to-date with emerging trends and advancements in SQL technologies and provide recommendations for improvement.
9. Should be an independent and individual contributor.
Requirements:
1. Minimum of 4+ years of experience in MS SQL server, SQL Programming, ETL development.
2. Proven experience as a SQL Developer with a strong focus on MS SQL Server.
3. Proficiency in SQL programming, including writing complex queries, stored procedures, and functions.
4. In-depth knowledge of ETL processes and hands-on experience with SSIS.
5. Strong expertise in creating reports and dashboards using SSRS.
6. Familiarity with database design principles, query optimization, and data modeling.
7. Experience with performance tuning and troubleshooting SQL-related issues.
8. Excellent problem-solving skills and attention to detail.
9. Strong communication and collaboration abilities.
10. Ability to work independently and handle multiple tasks simultaneously.
Preferred Skills:
1. Certification in MS SQL Server or related technologies.
2. Knowledge of other database systems such as Oracle or MySQL.
3. Familiarity with data warehousing concepts and tools.
4. Experience with version control systems.
make an impact by enabling innovation and growth; someone with passion for what they do and a vision for the future.
Responsibilities:
- Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
- Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
- Become an expert on data and trends, both internal and external to Kaleidofin.
- Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
- Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
- Automate scheduling and distribution of reports and support auditing and value realization.
- Partner with enterprise architects to define and ensure proposed.
- Business Intelligence solutions adhere to an enterprise reference architecture.
- Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks
Requirements:
- Experience leading development efforts through all phases of SDLC.
- 5+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
- Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
- Hands on experience in SQL, data management, and scripting (preferably Python).
- Strong data visualisation design skills, data modeling and inference skills.
- Hands-on and experience in managing small teams.
- Financial services experience preferred, but not mandatory.
- Strong knowledge of architectural principles, tools, frameworks, and best practices.
- Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
- Team handling preferred for 5+yrs experience candidates.
- Notice period less than 30 days.
Job Location: Chennai
Job Summary
The Engineering team is seeking a Data Architect. As a Data Architect, you will drive a
Data Architecture strategy across various Data Lake platforms. You will help develop
reference architecture and roadmaps to build highly available, scalable and distributed
data platforms using cloud based solutions to process high volume, high velocity and
wide variety of structured and unstructured data. This role is also responsible for driving
innovation, prototyping, and recommending solutions. Above all, you will influence how
users interact with Conde Nast’s industry-leading journalism.
Primary Responsibilities
Data Architect is responsible for
• Demonstrated technology and personal leadership experience in architecting,
designing, and building highly scalable solutions and products.
• Enterprise scale expertise in data management best practices such as data integration,
data security, data warehousing, metadata management and data quality.
• Extensive knowledge and experience in architecting modern data integration
frameworks, highly scalable distributed systems using open source and emerging data
architecture designs/patterns.
• Experience building external cloud (e.g. GCP, AWS) data applications and capabilities is
highly desirable.
• Expert ability to evaluate, prototype and recommend data solutions and vendor
technologies and platforms.
• Proven experience in relational, NoSQL, ELT/ETL technologies and in-memory
databases.
• Experience with DevOps, Continuous Integration and Continuous Delivery technologies
is desirable.
• This role requires 15+ years of data solution architecture, design and development
delivery experience.
• Solid experience in Agile methodologies (Kanban and SCRUM)
Required Skills
• Very Strong Experience in building Large Scale High Performance Data Platforms.
• Passionate about technology and delivering solutions for difficult and intricate
problems. Current on Relational Databases and No sql databases on cloud.
• Proven leadership skills, demonstrated ability to mentor, influence and partner with
cross teams to deliver scalable robust solutions..
• Mastery of relational database, NoSQL, ETL (such as Informatica, Datastage etc) /ELT
and data integration technologies.
• Experience in any one of Object Oriented Programming (Java, Scala, Python) and
Spark.
• Creative view of markets and technologies combined with a passion to create the
future.
• Knowledge on cloud based Distributed/Hybrid data-warehousing solutions and Data
Lake knowledge is mandate.
• Good understanding of emerging technologies and its applications.
• Understanding of code versioning tools such as GitHub, SVN, CVS etc.
• Understanding of Hadoop Architecture and Hive SQL
• Knowledge in any one of the workflow orchestration
• Understanding of Agile framework and delivery
•
Preferred Skills:
● Experience in AWS and EMR would be a plus
● Exposure in Workflow Orchestration like Airflow is a plus
● Exposure in any one of the NoSQL database would be a plus
● Experience in Databricks along with PySpark/Spark SQL would be a plus
● Experience with the Digital Media and Publishing domain would be a
plus
● Understanding of Digital web events, ad streams, context models
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right
move to invest heavily in understanding this data and formed a whole new Data team
entirely dedicated to data processing, engineering, analytics, and visualization. This team
helps drive engagement, fuel process innovation, further content enrichment, and increase
market revenue. The Data team aimed to create a company culture where data was the
common language and facilitate an environment where insights shared in real-time could
improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The
team at Condé Nast Chennai works extensively with data to amplify its brands' digital
capabilities and boost online revenue. We are broadly divided into four groups, Data
Intelligence, Data Engineering, Data Science, and Operations (including Product and
Marketing Ops, Client Services) along with Data Strategy and monetization. The teams built
capabilities and products to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are
Condé Nast, and It Starts Here.
4 - 8 overall experience.
- 1-2 years’ experience in Azure Data Factory - schedule Jobs in Flows and ADF Pipelines, Performance Tuning, Error logging etc..
- 1+ years of experience with Power BI - designing and developing reports, dashboards, metrics and visualizations in Powe BI.
- (Required) Participate in video conferencing calls - daily stand-up meetings and all day working with team members on cloud migration planning, development, and support.
- Proficiency in relational database concepts & design using star, Azure Datawarehouse, and data vault.
- Requires 2-3 years of experience with SQL scripting (merge, joins, and stored procedures) and best practices.
- Knowledge on deploying and run SSIS packages in Azure.
- Knowledge of Azure Data Bricks.
- Ability to write and execute complex SQL queries and stored procedures.