11+ ETL management Jobs in Chennai | ETL management Job openings in Chennai

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.

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

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

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

Job Location: Hyderabad/Bangalore/ Chennai/Pune/Nagpur

Notice period: Immediate - 15 days

1.      Python Developer with Snowflake

Job Description :

1. 5.5+ years of Strong Python Development Experience with Snowflake.
2. Strong hands of experience with SQL ability to write complex queries.
3. Strong understanding of how to connect to Snowflake using Python, should be able to handle any type of files
4.  Development of Data Analysis, Data Processing engines using Python
5. Good Experience in Data Transformation using Python. 
6.  Experience in Snowflake data load using Python.
7.  Experience in creating user-defined functions in Snowflake.
8.  Snowsql implementation.
9.  Knowledge of query performance tuning will be added advantage.
10. Good understanding of Datawarehouse (DWH) concepts.
11.  Interpret/analyze business requirements & functional specification
12.  Good to have DBT, FiveTran, and AWS Knowledge.

Role : Senior Customer Scientist 

Experience : 6-8 Years 

Location : Chennai (Hybrid) 
 
 

Who are we? 
 
 

A young, fast-growing AI and big data company, with an ambitious vision to simplify the world’s choices. Our clients are top-tier enterprises in the banking, e-commerce and travel spaces. They use our core AI-based choice engine http://maya.ai/">maya.ai, to deliver personal digital experiences centered around taste. The http://maya.ai/">maya.ai platform now touches over 125M customers globally. You’ll find Crayon Boxes in Chennai and Singapore. But you’ll find Crayons in every corner of the world. Especially where our client projects are – UAE, India, SE Asia and pretty soon the US. 
 
 

Life in the Crayon Box is a little chaotic, largely dynamic and keeps us on our toes! Crayons are a diverse and passionate bunch. Challenges excite us. Our mission drives us. And good food, caffeine (for the most part) and youthful energy fuel us. Over the last year alone, Crayon has seen a growth rate of 3x, and we believe this is just the start. 
 

 
We’re looking for young and young-at-heart professionals with a relentless drive to help Crayon double its growth. Leaders, doers, innovators, dreamers, implementers and eccentric visionaries, we have a place for you all. 
 

Can you say “Yes, I have!” to the below? 
 
 

1. Experience with exploratory analysis, statistical analysis, and model development 
    

1. Knowledge of advanced analytics techniques, including Predictive Modelling (Logistic regression), segmentation, forecasting, data mining, and optimizations 
    

1. Knowledge of software packages such as SAS, R, Rapidminer for analytical modelling and data management. 
    

1. Strong experience in SQL/ Python/R working efficiently at scale with large data sets 
    

1. Experience in using Business Intelligence tools such as PowerBI, Tableau, Metabase for business applications 
    

Can you say “Yes, I will!” to the below? 
 
 

1. Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modelling, coding, analytics) to drive business insight and facilitate decisions. 
    

1. Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimisation, and work with engineering to deploy those algorithms and create impact in production. 
    

1. Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess the relative impact and extract trends 
    

1. Coordinate individual teams to fulfil client requirements and manage deliverable 
    

1. Communicate and present complex concepts to business audiences 
    

1. Travel to client locations when necessary  

Crayon is an equal opportunity employer. Employment is based on a person's merit and qualifications and professional competences. Crayon does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related.  
 
 

More about Crayon: https://www.crayondata.com/">https://www.crayondata.com/  
 

More about http://maya.ai/">maya.ai: https://maya.ai/">https://maya.ai/  

JOB DESCRIPTION:. THE IDEAL CANDIDATE WILL:

• Ensure new features and subject areas are modelled to integrate with existing structures and provide a consistent view. Develop and maintain documentation of the data architecture, data flow and data models of the data warehouse appropriate for various audiences. Provide direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling.

• Providing technical leadership to large enterprise scale projects. You will also be responsible for preparing estimates and defining technical solutions to proposals (RFPs). This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the project Roles & Responsibilities.

ELIGIBILITY CRITERIA: Desired Experience/Skills:
• Must have total 5+ yrs. in IT and 2+ years' experience working as a snowflake Data Architect and 4+ years in Data warehouse, ETL, BI projects.
• Must have experience at least two end to end implementation of Snowflake cloud data warehouse and 3 end to end data warehouse implementations on-premise preferably on Oracle.

• Expertise in Snowflake – data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts
• Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understand how to use these features
• Expertise in deploying Snowflake features such as data sharing, events and lake-house patterns
• Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python
• Experience in Data Migration from RDBMS to Snowflake cloud data warehouse
• Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling)
• Experience with data security and data access controls and design
• Experience with AWS or Azure data storage and management technologies such as S3 and ADLS
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
• Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface
• Must have expertise in AWS or Azure Platform as a Service (PAAS)
• Certified Snowflake cloud data warehouse Architect (Desirable)
• Should be able to troubleshoot problems across infrastructure, platform and application domains.
• Must have experience of Agile development methodologies
• Strong written communication skills. Is effective and persuasive in both written and oral communication

Nice to have Skills/Qualifications:Bachelor's and/or master’s degree in computer science or equivalent experience.
• Strong communication, analytical and problem-solving skills with a high attention to detail.

About you:
• You are self-motivated, collaborative, eager to learn, and hands on
• You love trying out new apps, and find yourself coming up with ideas to improve them
• You stay ahead with all the latest trends and technologies
• You are particular about following industry best practices and have high standards regarding quality

• Analyze and organize raw data 
• Build data systems and pipelines
• Evaluate business needs and objectives
• Interpret trends and patterns
• Conduct complex data analysis and report on results 
• Build algorithms and prototypes
• Combine raw information from different sources
• Explore ways to enhance data quality and reliability
• Identify opportunities for data acquisition
• Should have experience in Python, Django Micro Service Senior developer with Financial Services/Investment Banking background.
• Develop analytical tools and programs
• Collaborate with data scientists and architects on several projects
• Should have 5+ years of experience as a data engineer or in a similar role
• Technical expertise with data models, data mining, and segmentation techniques
• Should have experience programming languages such as Python
• Hands-on experience with SQL database design
• Great numerical and analytical skills
• Degree in Computer Science, IT, or similar field; a Master’s is a plus
• Data engineering certification (e.g. IBM Certified Data Engineer) is a plus

Ganit Inc. is the fastest growing Data Science & AI company in Chennai.

Founded in 2017, by 3 industry experts who are alumnus of IITs/SPJIMR with each of them having 17+ years of experience in the field of analytics.

We are in the business of maximising Decision Making Power (DMP) for companies by providing solutions at the intersection of hypothesis based analytics, discovery based AI and IoT. Our solutions are a combination of customised services and functional product suite.

We primarily operate as a US-based start-up and have clients across US, Asia-Pacific, Middle-East and have offices in USA - New Jersey & India - Chennai.

Started with 3 people, the company is fast growing with 100+ employees

1. What do we expect from you

- Should posses minimum 2 years of experience of data analytics model development and deployment

- Skills relating to core Statistics & Mathematics.

- Huge interest in handling numbers

- Ability to understand all domains in businesses across various sectors

- Natural passion towards numbers, business, coding, visualisation

2. Necessary skill set:

- Proficient in R/Python, Advanced Excel, SQL

- Should have worked with Retail/FMCG/CPG projects solving analytical problems in Sales/Marketing/Supply Chain functions

- Very good understanding of algorithms, mathematical models, statistical techniques, data mining, like Regression models, Clustering/ Segmentation, time series forecasting, Decision trees/Random forest, etc.

- Ability to choose the right model for the right data and translate that into code in R, Python, VBA (Proven capabilities)

- Should have handled large datasets and with through understanding of SQL

- Ability to handle a team of Data Analysts

3. Good to have skill set:

- Microsoft PowerBI / Tableau / Qlik View / Spotfire

4. Job Responsibilities:

- Translate business requirements into technical requirements

- Data extraction, preparation and transformation

- Identify, develop and implement statistical techniques and algorithms that address business challenges and adds value to the organisation

- Create and implement data models

- Interact with clients for queries and delivery adoption

5. Screening Methodology

- Problem Solving round (Telephonic Conversation)

- Technical discussion round (Telephonic Conversation)

- Final fitment discussion (Video Round