Experience Sr Con – 8-10 Relevant Experience – 5 Years Must Have skills :- Strong DWH and ETL background Strong SQL Strong Snowflake (Advance) Python (snowpark - Advance) Airflow AWS or Any Cloud Team lead experience AWS+ Kafka
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· Page 6 / 273Experience Sr Con – 8-10 Relevant Experience – 5 Years Must Have skills :- Strong DWH and ETL background Strong SQL Strong Snowflake (Advance) Python (snowpark - Advance) Airflow AWS or Any Cloud Team lead experience AWS+ Kafka
Job Title- Big Data Developer Location- Mumbai Mode- Onsite Job Type: Full-Time Skills : Core JAVA + HDFS + Spark Additional details We are hiring backend/data engineers with strong hands-on experience in Apache Spark and/or Apache Flink using Java , to work on high-compute, high-throughput data pro
Job Description Data Strategy & Applied Business Acumen Understand and apply data strategy principles to routine business problems. Translate business problems into data or mathematical solutions using analytics, automation, or big data techniques. Provide recommendations to business stakeholder
Technical-Business Analyst + GCP / Big Data Technology – Big Query, Hive, PySpark - AVP Job Description: Job Title: Technical-Business Analyst + GCP / Big Data Technology – Big Query, Hive, PySpark - AVP Location: Pune/ Bangalore, India Role Description This role is as a Requirements Engineer (Techn
JOB Description: Experience:10+ Years Rel:5+years Location: Bangalore, Chandigarh, Chennai, Hyderabad, Pune Domain: Banking Mandatory skills: Spark, Scala, Python Desired skills: Spark Streaming, Hadoop, Hive, SQL, Sqoop, Impala, Pandas, AWS Description: At least 8+ years of experience and strong kn
JOB Description: Experience:10+ Years Rel:5+years Location: Bangalore, Chandigarh, Chennai, Hyderabad, Pune Domain: Banking Mandatory skills: Spark, Scala, Python Desired skills: Spark Streaming, Hadoop, Hive, SQL, Sqoop, Impala, Pandas, AWS Description: At least 8+ years of experience and strong kn
68 years of hands-on data engineering experience. •Strong expertise in Apache Spark (batch + streaming) and Hive. •Proficiency in Python, Scala, or Java. •Knowledge of orchestration tools (Airflow / Control-M) and SQL transformation frameworks (DBT preferred). •Experience working with Kafka, Solace,
68 years of hands-on data engineering experience. •Strong expertise in Apache Spark (batch + streaming) and Hive. •Proficiency in Python, Scala, or Java. •Knowledge of orchestration tools (Airflow / Control-M) and SQL transformation frameworks (DBT preferred). •Experience working with Kafka, Solace,
Principal Data Engineer (IC) – Real‑Time Data Platform (Azure) Experience: 12+ years (4+ years on large‑scale production data platforms) Must‑Have Skills ✅ Strong hands‑on experience with real‑time / streaming data systems ✅ Azure data stack: Databricks / Spark, Event Hubs, ADLS Gen2, Delta Lake ✅ E
Our Purpose Mastercard powers economies and empowers people in 200 countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart an
Big Data Lead (8+ Years) Location: Pune/Nagpur (WFO) Experience Required: 8+ Years Job Summary: We are looking for a Big Data Lead with strong expertise in PySpark and Big Data ecosystems . The candidate will be responsible for designing scalable data solutions, leading teams, and ensuring high perf
Analyst Our Purpose Mastercard powers economies and empowers people in 200 countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple,
Job Description Job Summary Synechron is seeking a highly skilled Cloud Data Engineer to design, develop, and maintain scalable, high-quality data pipelines across cloud platforms (AWS, Azure, or GCP). This role involves working with structured and unstructured data, optimizing ETL/ELT processes, an
Job Description CSQ127R179 Mission The Manager (Data & AI) for Technical Solutions Engineering will be responsible for leading and growing a regional team of Data & AI technical experts in India , focused on providing resiliency and smooth operation of customer production workloads. This lea
Greetings from Tata Consultancy Services!!! TCS is Hiring for Big Data Developer Experience : 5- 10 years Location: Bangalore Skills Required : Spark, Scala, Hadoop, Hive, Impala, SQL
Architect, design, and optimize large‑scale data platforms using Databricks, Snowflake, and modern lakehouse patterns. Provide deep hands‑on technical leadership while partnering with pre‑sales teams to shape scalable, cost‑efficient solutions. Build proofs‑of‑concept as an individual contributor to
We are seeking a talented and experienced Big Data Hadoop Developer to join our growing data engineering team. The ideal candidate will have 4-6 years of hands-on experience designing, developing, and optimizing big data solutions using the Hadoop ecosystem, with a strong focus on Apache Spark. You
Our Purpose Mastercard powers economies and empowers people in 200 countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart an
Principal Data Engineer (IC) – Real‑Time Data Platform (Azure) Experience: 12+ years (4+ years on large‑scale production data platforms) Must‑Have Skills ✅ Strong hands‑on experience with real‑time / streaming data systems ✅ Azure data stack: Databricks / Spark, Event Hubs, ADLS Gen2, Delta Lake ✅ E
Job Description About Position: We are seeking a highly skilled Data Engineer / Big Data Engineer to design, build, and optimize scalable data platforms and pipelines across cloud environments. The role requires strong expertise in Big Data technologies, advanced SQL performance tuning, cloud integr
₹3,35,000 – ₹5,35,000per year
Estimation confidence: Low
Estimate based on market data. Actual salaries may vary depending on experience, company, and location.