SQL Junction
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Hi

Hope you're doing well.

Weโ€™re currently hiring for a Senior Python Developer role with one of our global consulting firm clients in pan India location , for a high-impact InsurTech transformation project.

Role highlights:

5+ years of experience in Python backend development

Mandatory experience in insurance products (Life / Health / General Insurance)

Strong exposure to insurance systems, APIs, and backend platforms

Opportunity to work on a large-scale InsurTech program

Unique exposure to learn and work on new-age insurance platforms that are rapidly booming in the industry

This role offers both deep insurance domain exposure and future-facing platform learning, making it a strong long-term career opportunity.

If this aligns with your profile or career direction, Iโ€™d be happy to share more details.
Also, referrals are most welcome and truly appreciated.

Warm regards,
Soham Ganguly
EliteRecruitments
www.eliterecruitments.com
https://www.linkedin.com/company/eliterecruitments

#hiring #jobalert #jobopportunity #python
๐Ÿ‘1
๐Ÿš€ Data Analytics Essentials โ€” Skills Every Analyst Must Master

If you want to grow faster as a Data Analyst, itโ€™s not just about tools.
You need the right mix of technical + business skills.

Hereโ€™s a quick breakdown ๐Ÿ‘‡

๐Ÿง  Technical Skills

1๏ธโƒฃ SQL
โ€ข Joins, GROUP BY, Window Functions
โ€ข Handling NULLs & duplicates
๐Ÿ’ก Example: Use LEFT JOIN to identify churn vs non-churn users.

2๏ธโƒฃ Excel
โ€ข Pivot Tables, Lookups, IF logic
โ€ข Fast data cleaning
๐Ÿ’ก Example: Summarize 50K rows instantly using pivots.

3๏ธโƒฃ Power BI / Tableau
โ€ข Data modeling, measures, filters
โ€ข Build dashboards that answer one clear question.
๐Ÿ“Š Example: Track sales drop by region & month.

4๏ธโƒฃ Python
โ€ข pandas for data cleaning
โ€ข matplotlib / seaborn for quick visuals
๐Ÿ’ก Example: Cohort-wise revenue analysis.

5๏ธโƒฃ Statistics Basics
โ€ข Mean vs Median, Variance, Correlation
โš ๏ธ Example: Median often explains salary distribution better than average.

โธป

๐Ÿค Soft Skills (Equally Important)

1๏ธโƒฃ Business Thinking โ€“ Always ask why before how.
2๏ธโƒฃ Communication โ€“ Explain insights in simple terms.
3๏ธโƒฃ Problem Framing โ€“ Convert vague questions into clear metrics.
4๏ธโƒฃ Attention to Detail โ€“ Small data errors break trust.
5๏ธโƒฃ Stakeholder Management โ€“ Listen first, challenge with data.

โธป

๐Ÿ“Œ Lesson:
Tools alone wonโ€™t make you a great analyst.
The real edge comes from combining technical skills with business thinking.

๐Ÿ”ฅ Pick one skill from this list and improve it.

#DataAnalytics #SQL #Python #PowerBI #AnalyticsSkills
๐Ÿš€ Data engineering roles worth checking for SQL learners



๐Ÿ’ผ Role: Data Engineer
๐Ÿข Company: EXL
๐Ÿ“ Location: India, IN
๐ŸŒŽ Work mode: remote
โœจ Why it is worth checking: Strong exposure to AWS Glue, Redshift, Athena, PySpark, ETL/ELT pipelines, and data warehousing concepts.
๐Ÿ”— https://artha.link/@adityabansal095/jobs/data-engineer-exl-india-ab6b2cd2

๐Ÿ’ผ Role: Data Engineer
๐Ÿข Company: Newtap Finance
๐Ÿ“ Location: Bengaluru, Karnataka, IN
๐ŸŒŽ Work mode: onsite
โœจ Why it is worth checking: Hands-on work with Airflow, EMR, Spark, Athena, CDC ingestion, and lakehouse architecture.
๐Ÿ”— https://artha.link/@adityabansal095/jobs/data-engineer-newtap-finance-bengaluru-36d7cd70

๐Ÿ’ผ Role: Data Engineer โ€“ Analytics & Aws
๐Ÿข Company: Health Catalyst
๐Ÿ“ Location: Hyderabad, Telangana, IN
๐ŸŒŽ Work mode: remote
โœจ Why it is worth checking: Good mix of data engineering and analytics using AWS Glue, Snowflake, SQL, Python, Kafka, and Airflow.
๐Ÿ”— https://artha.link/@adityabansal095/jobs/data-engineer-analytics-aws-health-catalyst-hyderabad-14f9084d

Save this for later or share with someone preparing for data engineering interviews.

#DataEngineering #SQL #AWS #Snowflake #Airflow #ETL #Python #Jobs #JobAlert
๐Ÿ‘1
๐Ÿ“Š Data engineering and BI roles worth exploring

If you are building SQL, ETL, analytics, or AI engineering skills, these opportunities align well with real-world data workflows and production systems.

๐Ÿ’ผ Role: Lead Ai Engineer (agentic Systems)
๐Ÿข Company: S&P Global
๐Ÿ“ Location: Haryana, Gurugram, IN
โœจ Why it is worth checking: Strong mix of Python, ETL, Databricks, Snowflake, Kubernetes, LangGraph, and production-grade AI systems.
๐Ÿ”— https://artha.link/@adityabansal095/jobs/lead-ai-engineer-agentic-systems-s-p-global-haryana-402f311a

๐Ÿ’ผ Role: Data Analyst / Engineer
๐Ÿข Company: Kyndryl
๐Ÿ“ Location: Karnataka, Bangalore, IN
โœจ Why it is worth checking: Good fit if you work with SQL, Python, Snowflake, ETL/ELT, ODI, Power BI, and enterprise data warehousing.
๐Ÿ”— https://artha.link/@adityabansal095/jobs/data-analyst-engineer-kyndryl-karnataka-42df3c00

๐Ÿ’ผ Role: Business Intelligence Engineer, Aop - Row Apex
๐Ÿข Company: ASSPL - Karnataka
๐Ÿ“ Location: Hyderabad, Telangana, IN
โœจ Why it is worth checking: Covers BI reporting, SQL, Python, ETL pipelines, Tableau/Quicksight, and analytics frameworks at scale.
๐Ÿ”— https://artha.link/@adityabansal095/jobs/business-intelligence-engineer-aop-row-asspl-karnataka-hyderabad-28f3112f

Save this for later or share with someone preparing for data engineering interviews.

#DataEngineering #SQL #ETL #BusinessIntelligence #Snowflake #Python #Analytics